{"id":1718,"date":"2023-04-18T09:19:13","date_gmt":"2023-04-18T07:19:13","guid":{"rendered":"https:\/\/dtstc.ugr.es\/neus-cslab\/?page_id=1718"},"modified":"2023-04-24T10:58:53","modified_gmt":"2023-04-24T08:58:53","slug":"iot","status":"publish","type":"page","link":"https:\/\/dtstc.ugr.es\/neus-cslab\/lineas-de-investigacion\/iot\/","title":{"rendered":"Seguridad en IoT"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1718\" class=\"elementor elementor-1718\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e4e972e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e4e972e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2d2bf1a\" data-id=\"2d2bf1a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af31eea elementor-widget elementor-widget-heading\" data-id=\"af31eea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Seguridad en IoT<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f6ac55 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"8f6ac55\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" class=\"alignleft size-medium wp-image-449\" src=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2022\/03\/seguridad-iot-300x237.jpg\" alt=\"\" width=\"300\" height=\"237\" srcset=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2022\/03\/seguridad-iot-300x237.jpg 300w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2022\/03\/seguridad-iot.jpg 449w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align; font-size: 100%;\">En la \u00faltima d\u00e9cada, el Internet de las cosas (IoT) ha experimentado un crecimiento significativo en varios dominios, como Industria 4.0,\u00a0Smart Cities, o Smart Homes. Este \u00e9xito tambi\u00e9n ha planteado nuevos desaf\u00edos de seguridad, incluido el dise\u00f1o de software,\u00a0arquitecturas y modelos de seguridad que aborden las amenazas cibern\u00e9ticas en todas las capas de IoT. La heterogeneidad de dispositivos, vulnerabilidades y tecnolog\u00edas involucradas en IoT desaf\u00eda la adopci\u00f3n de soluciones de ciberseguridad gen\u00e9ricas en este \u00e1mbito.\u00a0 Consecuentemente, se aborda el desarrollo de sistemas de defensa y protecci\u00f3n adaptados a cada uno de los dominios.<\/p>\n<p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align; font-size: 100%;\">Nuestro grupo ha abierto una l\u00ednea de investigaci\u00f3n centrada en la adaptaci\u00f3n de las tecnolog\u00edas de ciberseguridad usadas en Internet a los nuevos dominios de aplicaci\u00f3n, as\u00ed como al desarrollo de nuevas t\u00e9cnicas, todas orientadas a mejorar la seguridad en IoT. Estudiamos soluciones en tres de los dominios m\u00e1s extendidos: industria, ciudades y hogares, con una aproximaci\u00f3n hol\u00edstica adaptada a los sistemas ciberf\u00edsicos subyacentes. Nuestra aproximaci\u00f3n considera tanto el <b>an\u00e1lisis de las comunicaciones<\/b> como el de los <b>datos de aplicaci\u00f3n <\/b>transportados. Esto posibilita el diagn\u00f3stico de\u00a0 fallos como parte del an\u00e1lisis de ciberseguridad.<\/p>\n<p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align; font-size: 100%;\">Hemos desarrollado <b>sistemas de monitorizaci\u00f3n de la seguridad<\/b> operativos desplegados en <b>plantas de energ\u00edas renovables<\/b> operando sobre redes SCADA (Industria) y prototipos operativos adaptados al control de la iluminaci\u00f3n en ciudades (Smart Cities) a trav\u00e9s de Internet.\u00a0 Estamos\u00a0 adaptando estas soluciones al entorno Smart Home.<\/p>\n&nbsp;\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32e68c0 elementor-widget elementor-widget-image\" data-id=\"32e68c0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"396\" src=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/solucion-iot-768x396.png\" class=\"attachment-medium_large size-medium_large wp-image-1788\" alt=\"\" srcset=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/solucion-iot-768x396.png 768w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/solucion-iot-300x155.png 300w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/solucion-iot.png 828w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-1223443 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1223443\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-e913e57\" data-id=\"e913e57\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af28f5d elementor-widget elementor-widget-text-editor\" data-id=\"af28f5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"color: #0a3824;\">L\u00edneas de trabajo<\/span><\/h3>\n<ul>\n \t<li>\n<p style=\"text-align: justify; line-height: normal;\">Desarrollo de <strong>sistemas SIEM integrales<\/strong> para entornos IoT<\/p>\n<\/li>\n \t<li>\n<p style=\"text-align: justify; line-height: normal;\">An\u00e1lisis de\u00a0<b>vulnerabilidades<\/b>\u00a0en IoT<\/p>\n<\/li>\n \t<li>\n<p style=\"text-align: justify; line-height: normal;\"><b>Configuraci\u00f3n y adaptaci\u00f3n autom\u00e1ticas<\/b> al escenario\/planta<\/span><\/p>\n<\/li>\n \t<li>\n<p style=\"text-align: justify; line-height: normal;\">Integraci\u00f3n de datos de <b>m\u00faltiples sensores<\/b> en la detecci\u00f3n de incidentes<\/p>\n<\/li>\n \t<li>\n<p style=\"text-align: justify; line-height: normal;\"><strong style=\"font-size: 17px;\">Adquisici\u00f3n y etiquetado<\/strong><span style=\"font-size: 17px;\"> de tr\u00e1fico IoT en<\/span><strong style=\"font-size: 17px;\"> escenarios reales<\/strong><\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c249292\" data-id=\"c249292\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9b7e90b elementor-widget elementor-widget-text-editor\" data-id=\"9b7e90b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"color: #0a3824;\">T\u00e9cnicas \/ m\u00e9todos<br \/><\/span><\/h3><ul><li style=\"font-size: 17px;\"><p style=\"line-height: normal; font-size: 17px;\">An\u00e1lisis de series temporales<\/p><\/li><li><p style=\"text-align: justify; line-height: normal;\"><span style=\"font-size: 17px;\">An\u00e1lisis de riesgos<\/span><\/p><\/li><li><p style=\"text-align: justify; line-height: normal;\">Aprendizaje autom\u00e1tico<\/p><\/li><li><p style=\"text-align: justify; line-height: normal;\">Detecci\u00f3n de anomal\u00edas<\/p><\/li><li><p style=\"text-align: justify; line-height: normal;\">Correlaci\u00f3n de eventos<\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-5eb5f14 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5eb5f14\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-d769f74\" data-id=\"d769f74\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-613982e\" data-id=\"613982e\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-90b0b64 elementor-widget elementor-widget-text-editor\" data-id=\"90b0b64\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"color: #0a3824;\">Resultados relevantes<br \/><\/span><\/h3><ul><li><p style=\"text-align: justify; line-height: normal;\">Registro software de sistema de supervisi\u00f3n de seguridad de planta industrial<\/p><\/li><li>Varios datasets de tr\u00e1fico IoT reales etiquetadas (ground-truth)<\/li><li>\u00a0Transferencia de conocimiento a empresas del sector<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-c7a4a36\" data-id=\"c7a4a36\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a78e8af elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a78e8af\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a051be7\" data-id=\"a051be7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-81abaea elementor-widget elementor-widget-heading\" data-id=\"81abaea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Publicaciones destacadas<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7c28d6 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"a7c28d6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lara, Agust\u00edn;  Estepa, Antonio;  Estepa, Rafael;  D\u00edaz-Verdejo, Jes\u00fas E.;  Mayor, Vicente<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('495','tp_links')\" style=\"cursor:pointer;\">Anomaly-based Intrusion Detection System for smart lighting<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Internet of Things, <\/span><span class=\"tp_pub_additional_volume\">vol. 28, <\/span><span class=\"tp_pub_additional_pages\">pp. 101427, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2542-6605<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_495\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('495','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_495\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('495','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_495\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('495','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_495\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{LARA2024101427,<br \/>\r\ntitle = {Anomaly-based Intrusion Detection System for smart lighting},<br \/>\r\nauthor = {Agust\u00edn Lara and Antonio Estepa and Rafael Estepa and Jes\u00fas E. D\u00edaz-Verdejo and Vicente Mayor},<br \/>\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2542660524003688},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.iot.2024.101427},<br \/>\r\nissn = {2542-6605},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {Internet of Things},<br \/>\r\nvolume = {28},<br \/>\r\npages = {101427},<br \/>\r\nabstract = {Smart Lighting Systems (SLS) are essential to smart cities, offering enhanced energy efficiency and public safety. However, they are susceptible to security threats, potentially leading to safety risks and service disruptions, making the protection of this infrastructure critical. This paper presents an anomaly-based Intrusion Detection System (IDS) designed for a real-world operational SLS. As commercial deployments vary in components, protocols, and functionalities, IDSs must be tailored to the specific characteristics of each deployment to perform effectively. Our anomaly-based IDS has been defined based on the properties of the available data and the types of attacks we aim to detect, offering both explainability and low complexity. The proposed system identifies anomalies in seven features of network traffic and in the telemetry data received at the central control (O&M) server. For the latter, we designed three customized detectors to identify abnormal data points, persistent deviations in street lamp power consumption, and abnormal power value based on the time of day. Validation with real-world data and simulated attacks demonstrates the effectiveness of our approach. Network attacks (e.g., DoS, scanning) were detected by at least one of the seven flow-related anomaly detectors, while simulated data poisoning attacks and operational technology (OT) issues were detected with nearly 90% accuracy. The datasets used in this work are publicly available and may serve as reference for the design of future IDSs. While our detectors were designed specifically for our dataset, the variables examined and vulnerabilities addressed are common in most commercial SLSs.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('495','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_495\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Smart Lighting Systems (SLS) are essential to smart cities, offering enhanced energy efficiency and public safety. However, they are susceptible to security threats, potentially leading to safety risks and service disruptions, making the protection of this infrastructure critical. This paper presents an anomaly-based Intrusion Detection System (IDS) designed for a real-world operational SLS. As commercial deployments vary in components, protocols, and functionalities, IDSs must be tailored to the specific characteristics of each deployment to perform effectively. Our anomaly-based IDS has been defined based on the properties of the available data and the types of attacks we aim to detect, offering both explainability and low complexity. The proposed system identifies anomalies in seven features of network traffic and in the telemetry data received at the central control (O&amp;M) server. For the latter, we designed three customized detectors to identify abnormal data points, persistent deviations in street lamp power consumption, and abnormal power value based on the time of day. Validation with real-world data and simulated attacks demonstrates the effectiveness of our approach. Network attacks (e.g., DoS, scanning) were detected by at least one of the seven flow-related anomaly detectors, while simulated data poisoning attacks and operational technology (OT) issues were detected with nearly 90% accuracy. The datasets used in this work are publicly available and may serve as reference for the design of future IDSs. While our detectors were designed specifically for our dataset, the variables examined and vulnerabilities addressed are common in most commercial SLSs.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('495','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_495\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2542660524003688\" title=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2542660524003688\" target=\"_blank\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2542660524003688<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.iot.2024.101427\" title=\"DOI de seguimiento:https:\/\/doi.org\/10.1016\/j.iot.2024.101427\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.iot.2024.101427<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('495','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Walabonso Lara, Agust\u00edn;  Mayor, Vicente;  Estepa Alonso, Rafael;  Estepa Alonso, Antonio;  D\u00edaz-Verdejo, Jes\u00fas E.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('265','tp_links')\" style=\"cursor:pointer;\">Smart home anomaly-based IDS: Architecture proposal and case study<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Internet of Things, <\/span><span class=\"tp_pub_additional_volume\">vol. 22, <\/span><span class=\"tp_pub_additional_pages\">pp. 100773, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2542-6605<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_265\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('265','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_265\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('265','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_265\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('265','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_265\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lara2023,<br \/>\r\ntitle = {Smart home anomaly-based IDS: Architecture proposal and case study},<br \/>\r\nauthor = { {Walabonso Lara}, Agust\u00edn and Vicente Mayor and {Estepa Alonso}, Rafael and {Estepa Alonso} , Antonio and Jes\u00fas E. {D\u00edaz-Verdejo}},<br \/>\r\nurl = {https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2542660523000963},<br \/>\r\ndoi = {10.1016\/J.IOT.2023.100773},<br \/>\r\nissn = {2542-6605},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-07-01},<br \/>\r\nurldate = {2023-07-01},<br \/>\r\njournal = {Internet of Things},<br \/>\r\nvolume = {22},<br \/>\r\npages = {100773},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nabstract = {The complexity and diversity of the technologies involved in the Internet of Things (IoT) challenge the generalization of security solutions based on anomaly detection, which should fit the particularities of each context and deployment and allow for performance comparison. In this work, we provide a flexible architecture based on building blocks suited for detecting anomalies in the network traffic and the application-layer data exchanged by IoT devices in the context of Smart Home. Following this architecture, we have defined a particular Intrusion Detector System (IDS) for a case study that uses a public dataset with the electrical consumption of 21 home devices over one year. In particular, we have defined ten Indicators of Compromise (IoC) to detect network attacks and two anomaly detectors to detect false command or data injection attacks. We have also included a signature-based IDS (Snort) to extend the detection range to known attacks. We have reproduced eight network attacks (e.g., DoS, scanning) and four False Command or Data Injection attacks to test our IDS performance. The results show that all attacks were successfully detected by our IoCs and anomaly detectors with a false positive rate lower than 0.3%. Signature detection was able to detect only 4 out of 12 attacks. Our architecture and the IDS developed can be a reference for developing future IDS suited to different contexts or use cases. Given that we use a public dataset, our contribution can also serve as a baseline for comparison with new techniques that improve detection performance.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('265','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_265\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The complexity and diversity of the technologies involved in the Internet of Things (IoT) challenge the generalization of security solutions based on anomaly detection, which should fit the particularities of each context and deployment and allow for performance comparison. In this work, we provide a flexible architecture based on building blocks suited for detecting anomalies in the network traffic and the application-layer data exchanged by IoT devices in the context of Smart Home. Following this architecture, we have defined a particular Intrusion Detector System (IDS) for a case study that uses a public dataset with the electrical consumption of 21 home devices over one year. In particular, we have defined ten Indicators of Compromise (IoC) to detect network attacks and two anomaly detectors to detect false command or data injection attacks. We have also included a signature-based IDS (Snort) to extend the detection range to known attacks. We have reproduced eight network attacks (e.g., DoS, scanning) and four False Command or Data Injection attacks to test our IDS performance. The results show that all attacks were successfully detected by our IoCs and anomaly detectors with a false positive rate lower than 0.3%. Signature detection was able to detect only 4 out of 12 attacks. Our architecture and the IDS developed can be a reference for developing future IDS suited to different contexts or use cases. Given that we use a public dataset, our contribution can also serve as a baseline for comparison with new techniques that improve detection performance.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('265','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_265\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2542660523000963\" title=\"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2542660523000963\" target=\"_blank\">https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2542660523000963<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/J.IOT.2023.100773\" title=\"DOI de seguimiento:10.1016\/J.IOT.2023.100773\" target=\"_blank\">doi:10.1016\/J.IOT.2023.100773<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('265','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lara, Agust\u00edn W.;  Ternero, J. A.;  Estepa Alonso, Rafael;  Estepa Alonso, Antonio;  Ruiz-Robles, Fernando;  D\u00edaz-Verdejo, Jes\u00fas E.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('478','tp_links')\" style=\"cursor:pointer;\">HTTP Cyberattacks Detection through Automatic Signature Generation in multi-site IoT Deployments<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Proc. European Interdisciplinary Cybersecurity Conference (EICC 2023)\r\n, <\/span><span class=\"tp_pub_additional_pages\">pp. 6, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_478\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('478','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_478\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('478','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_478\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('478','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_478\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{eicc2-firmas,<br \/>\r\ntitle = {HTTP Cyberattacks Detection through Automatic Signature Generation in multi-site IoT Deployments},<br \/>\r\nauthor = {Agust\u00edn W. Lara and J.A. Ternero and {Estepa Alonso}, Rafael and {Estepa Alonso}, Antonio and Fernando Ruiz-Robles and Jes\u00fas E. D\u00edaz-Verdejo<br \/>\r\n},<br \/>\r\ndoi = {10.1145\/3590777.3590788},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-06-14},<br \/>\r\nurldate = {2023-06-14},<br \/>\r\nbooktitle = {Proc. European Interdisciplinary Cybersecurity Conference (EICC 2023)<br \/>\r\n},<br \/>\r\npages = {6},<br \/>\r\nabstract = { IoT deployments often include a web-interface server for managerial purposes. Signature-based Intrusion Detection Systems are commonly used to detect HTTP attacks on these web servers. The standard signature repositories used by these defensive systems can be enhanced with new signatures generated automatically from attacks detected with anomaly detection techniques. <br \/>\r\n  This work presents a scheme for generating such anomaly-based signatures from HTTP attacks in a way that avoids excessive false positives. The signatures generated are distributed to peer sites in a multi-site environment. We also present a case study based on an IoT real-life dataset collected at four different SmartLight deployments from the same organization. Our results show a notable performance improvement (from $24.1%$ to $66.7%$) when anomaly-based signatures are added to the standard default Snort ruleset and distributed to the other three sites.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('478','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_478\" style=\"display:none;\"><div class=\"tp_abstract_entry\"> IoT deployments often include a web-interface server for managerial purposes. Signature-based Intrusion Detection Systems are commonly used to detect HTTP attacks on these web servers. The standard signature repositories used by these defensive systems can be enhanced with new signatures generated automatically from attacks detected with anomaly detection techniques. <br \/>\r\n  This work presents a scheme for generating such anomaly-based signatures from HTTP attacks in a way that avoids excessive false positives. The signatures generated are distributed to peer sites in a multi-site environment. We also present a case study based on an IoT real-life dataset collected at four different SmartLight deployments from the same organization. Our results show a notable performance improvement (from $24.1%$ to $66.7%$) when anomaly-based signatures are added to the standard default Snort ruleset and distributed to the other three sites.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('478','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_478\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3590777.3590788\" title=\"DOI de seguimiento:10.1145\/3590777.3590788\" target=\"_blank\">doi:10.1145\/3590777.3590788<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('478','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Estepa, Rafael;  Estepa, Antonio;  D\u00edaz-Verdejo, Jes\u00fas;  Lara, Agust\u00edn W;  Madinabeitia, Germ\u00e1n;  S\u00e1nchez, Jos\u00e9 A. Morales<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('271','tp_links')\" style=\"cursor:pointer;\">Dise\u00f1o de un IDS basado en anomal\u00edas para IoT: caso de estudio en SmartCities<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Actas de las VI Jornadas Nacionales de Investigaci\u00f3n en Ciberseguridad, <\/span><span class=\"tp_pub_additional_pages\">pp. 135\u2013138, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_271\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('271','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_271\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('271','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_271\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('271','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_271\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Estepa-jnic2021,<br \/>\r\ntitle = {Dise\u00f1o de un IDS basado en anomal\u00edas para IoT: caso de estudio en SmartCities},<br \/>\r\nauthor = {Rafael Estepa and Antonio Estepa and Jes\u00fas D\u00edaz-Verdejo and Agust\u00edn W Lara and Germ\u00e1n Madinabeitia and Jos\u00e9 A. Morales S\u00e1nchez},<br \/>\r\nurl = {https:\/\/ruidera.uclm.es\/xmlui\/handle\/10578\/28638},<br \/>\r\ndoi = {10.18239\/jornadas_2021.34.30},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\nurldate = {2021-01-01},<br \/>\r\nbooktitle = {Actas de las VI Jornadas Nacionales de Investigaci\u00f3n en Ciberseguridad},<br \/>\r\npages = {135--138},<br \/>\r\nabstract = {Los sistemas de Smart-City constituyen un campo espec\u00edfico en el IoT. Las soluciones de ciberseguridad IT tradicionales son excesivamente gen\u00e9ricas y poco eficientes para este tipo de instalaciones con escasos recursos computacionales y de coste limitado. Por ello, en conjunci\u00f3n con una empresa del sector, se est\u00e1 desarrollando un proyecto para la detecci\u00f3n de incidentes de seguridad de un sistema de Iluminaci\u00f3n Inteligente. En este art\u00edculo se describen los resultados iniciales del proyecto.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('271','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_271\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Los sistemas de Smart-City constituyen un campo espec\u00edfico en el IoT. Las soluciones de ciberseguridad IT tradicionales son excesivamente gen\u00e9ricas y poco eficientes para este tipo de instalaciones con escasos recursos computacionales y de coste limitado. Por ello, en conjunci\u00f3n con una empresa del sector, se est\u00e1 desarrollando un proyecto para la detecci\u00f3n de incidentes de seguridad de un sistema de Iluminaci\u00f3n Inteligente. En este art\u00edculo se describen los resultados iniciales del proyecto.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('271','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_271\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/ruidera.uclm.es\/xmlui\/handle\/10578\/28638\" title=\"https:\/\/ruidera.uclm.es\/xmlui\/handle\/10578\/28638\" target=\"_blank\">https:\/\/ruidera.uclm.es\/xmlui\/handle\/10578\/28638<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.18239\/jornadas_2021.34.30\" title=\"DOI de seguimiento:10.18239\/jornadas_2021.34.30\" target=\"_blank\">doi:10.18239\/jornadas_2021.34.30<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('271','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Alonso, Antonio J. Estepa;  D\u00edaz-Verdejo, Jes\u00fas E.;  Ram\u00edrez, Estefan\u00eda Osma;  Alonso, Rafael M. Estepa;  Luque, Germ\u00e1n Madinabeitia;  Romero, Agust\u00edn W. Lara<\/p><p class=\"tp_pub_title\">Ciberseguridad en entornos de generaci\u00f3n el\u00e9ctrica en parques renovables. Resumen extendido <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Actas de las V Jornadas Nacionales de Investigaci\u00f3n en Ciberseguridad, <\/span><span class=\"tp_pub_additional_pages\">pp. 334\u2013335, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-84-09-12121-2<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_277\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('277','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_277\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('277','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_277\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Alonso2019,<br \/>\r\ntitle = {Ciberseguridad en entornos de generaci\u00f3n el\u00e9ctrica en parques renovables. Resumen extendido},<br \/>\r\nauthor = {Antonio J. Estepa Alonso and Jes\u00fas E. D\u00edaz-Verdejo and Estefan\u00eda Osma Ram\u00edrez and Rafael M. Estepa Alonso and Germ\u00e1n Madinabeitia Luque and Agust\u00edn W. Lara Romero},<br \/>\r\nisbn = {978-84-09-12121-2},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nbooktitle = {Actas de las V Jornadas Nacionales de Investigaci\u00f3n en Ciberseguridad},<br \/>\r\npages = {334--335},<br \/>\r\nabstract = {Este documento presenta un proyecto en curso en el marco de ciberseguridad en entornos industriales de generaci\u00f3n el\u00e9ctrica. Por limitaciones de espacio y por motivos de confidencialidad, tan s\u00f3lo se describir\u00e1 el contexto de este proyecto, el alcance esperado y los requisitos que debe cumplir la soluci\u00f3n de ciberseguridad. Por \u00faltimo se realiza una breve introducci\u00f3n al dise\u00f1o inicial de la soluci\u00f3n propuesta siguiendo la aproximaci\u00f3n de M\u00ednimo Producto Viable. Dicha soluci\u00f3n se basa en la definici\u00f3n de Indicadores de Compromiso IoC para la detecci\u00f3n anomal\u00edas y vulnerabilidades en la planta.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('277','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_277\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Este documento presenta un proyecto en curso en el marco de ciberseguridad en entornos industriales de generaci\u00f3n el\u00e9ctrica. Por limitaciones de espacio y por motivos de confidencialidad, tan s\u00f3lo se describir\u00e1 el contexto de este proyecto, el alcance esperado y los requisitos que debe cumplir la soluci\u00f3n de ciberseguridad. Por \u00faltimo se realiza una breve introducci\u00f3n al dise\u00f1o inicial de la soluci\u00f3n propuesta siguiendo la aproximaci\u00f3n de M\u00ednimo Producto Viable. Dicha soluci\u00f3n se basa en la definici\u00f3n de Indicadores de Compromiso IoC para la detecci\u00f3n anomal\u00edas y vulnerabilidades en la planta.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('277','tp_abstract')\">Cerrar<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8901c70 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8901c70\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ca17ca1\" data-id=\"ca17ca1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c465b8e elementor-widget elementor-widget-heading\" data-id=\"c465b8e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Proyectos destacados<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f334260 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"f334260\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_online\"><div class=\"tp_pub_info\"><p class=\"tp_pub_title\"> <span style=\"color: #038daa;font-size: 1,2rem;\"><b>PID2020-115199RB-I00 <\/b> <\/span> &#8211; <a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('3','tp_links')\" style=\"cursor:pointer;\">Detecci\u00f3n de ciberataques en \u201cindustria conectada\u201d e IoT mediante integraci\u00f3n y correlaci\u00f3n de alertas multifuente (COINCYDE)<\/a><\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad financiadora: <\/span><i>Ministerio de Ciencia e Innovaci\u00f3n <\/i> &#8211; MICIN\/AEI\/10.13039\/50110 0 011033<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad\/es participantes: <\/span><i>Universidad de Granada \/ Universidad de Sevilla<\/i> &#8211; <span style=\"color: #888888;\">N. invest.: <\/span>8<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Periodo: <\/span>01\/09\/2021 a 31\/08\/2024<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_3\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@online{coincyde,<br \/>\r\ntitle = {Detecci\u00f3n de ciberataques en \u201cindustria conectada\u201d e IoT mediante integraci\u00f3n y correlaci\u00f3n de alertas multifuente (COINCYDE)},<br \/>\r\nauthor = {<br \/>\r\n<br \/>\r\n},<br \/>\r\nurl = {\/neus-cslab\/proyectos-idi\/coincyde},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-09-01},<br \/>\r\nurldate = {2021-09-01},<br \/>\r\nbooktitle = {Detecci\u00f3n de ciberataques en \u201cindustria conectada\u201d e IoT mediante integraci\u00f3n y correlaci\u00f3n de alertas multifuente (COINCYDE)},<br \/>\r\nissuetitle = {MICIN\/AEI\/10.13039\/50110 0 011033},<br \/>\r\nnumber = {PID2020-115199RB-I00 },<br \/>\r\npages = {8},<br \/>\r\ninstitution = {Universidad de Granada \/ Universidad de Sevilla},<br \/>\r\norganization = {Ministerio de Ciencia e Innovaci\u00f3n },<br \/>\r\nseries = {01\/09\/2021 a 31\/08\/2024},<br \/>\r\nabstract = {Los sistemas de monitorizaci\u00f3n de la seguridad en red (NSM) se encuentran hoy en d\u00eda entre los componentes m\u00e1s relevantes para la detecci\u00f3n y respuesta a los ciberataques. Sin embargo, sus capacidades de detecci\u00f3n se limitan en su mayor\u00eda a ataques conocidos y tienden a generar una gran cantidad de alertas, muchas de las cuales son falsos positivos. As\u00ed, los operadores de ciberseguridad (CSO) deben supervisar una gran cantidad de alertas para determinar la ocurrencia real de incidentes, mientras que algunos de ellos permanecen sin ser detectados. Este proyecto tiene como objetivo desarrollar nuevas t\u00e9cnicas para mejorar las capacidades de detecci\u00f3n mediante la adici\u00f3n de nuevos m\u00e9todos basados en anomal\u00edas combinados con la correlaci\u00f3n y priorizaci\u00f3n de alertas incorporando informaci\u00f3n contextual de la red. Esto mejorar\u00e1 la calidad de las alertas y reducir\u00e1 la tasa de falsos positivos.<br \/>\r\n<br \/>\r\nEn esta propuesta se plantea el desarrollo de un NSM espec\u00edfico para plantas industriales con elementos del Internet of Things (IoT) y, m\u00e1s concretamente en uno de sus usos verticales: las SmartCity. Las instalaciones que pueden beneficiarse de la soluci\u00f3n objeto de este proyecto son aquellas que permiten el control y monitorizaci\u00f3n de parques de dispositivos inteligentes (IoT, SmartCity), desde una aplicaci\u00f3n o servicio web que se utiliza como interfaz de usuario para la gesti\u00f3n de servicios inteligentes. La elecci\u00f3n del escenario tiene<br \/>\r\nuna triple motivaci\u00f3n. Primero, por la gran relevancia y expansi\u00f3n de este tipo de redes en la actualidad. Segundo, el escenario plantea una serie dificultades y requisitos espec\u00edficos que no han sido convenientemente abordados en los SIEM actuales. Y tercero, la selecci\u00f3n del escenario permite acotar el contexto, lo que posibilita un abordaje adecuado de la incorporaci\u00f3n de informaci\u00f3n contextual.<br \/>\r\n<br \/>\r\nEl sistema a desarrollar incorporar\u00e1 m\u00faltiples detectores, incluyendo los usados habitualmente, considerando nuevos detectores espec\u00edficos para el escenario que est\u00e1n orientados a las diversas amenazas existentes. As\u00ed, se desarrollar\u00e1n detectores basados en anomal\u00edas a nivel del tr\u00e1fico observado (flujos), a nivel de aplicaci\u00f3n (sensorizaci\u00f3n) y a nivel de los servicios web usados para la operaci\u00f3n remota. Adicionalmente, se har\u00e1 uso de t\u00e9cnicas de inteligencia artificial para la correlaci\u00f3n y priorizaci\u00f3n de las alertas incorporando informaci\u00f3n relativa al estado e historia previa de la red. Esto permitir\u00e1 identificar falsos positivos, reducir el n\u00famero de alertas finalmente enviadas al CSO y mejorar la informaci\u00f3n en las mismas.<br \/>\r\n<br \/>\r\nUn elemento relevante y novedoso es el uso de una matriz de tr\u00e1fico generada a partir de flujos en diferentes escalas de tiempo. Esta matriz contiene informaci\u00f3n sobre las conexiones de red que pueden explotarse para m\u00faltiples usos. As\u00ed, se pueden establecer algunos indicadores de compromiso para identificar ataques. Tambi\u00e9n se puede utilizar para aplicar varios tipos de an\u00e1lisis de miner\u00eda de datos, como la b\u00fasqueda de patrones comunes entre flujos, realizar perfiles de tr\u00e1fico de servicios, evaluar la importancia y encontrar relaciones entre activos. La informaci\u00f3n extra\u00edda de esta matriz se utilizar\u00e1 como informaci\u00f3n contextual en la correlaci\u00f3n y priorizaci\u00f3n de alertas.<br \/>\r\n<br \/>\r\nFinalmente, la arquitectura propuesta incluye realimentaci\u00f3n a partir de las acciones del CSO, lo que permite evaluar la calidad de detecci\u00f3n y priorizaci\u00f3n y ajustar el rendimiento del sistema.},<br \/>\r\nnote = {47795 \u20ac},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {online}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_3\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Los sistemas de monitorizaci\u00f3n de la seguridad en red (NSM) se encuentran hoy en d\u00eda entre los componentes m\u00e1s relevantes para la detecci\u00f3n y respuesta a los ciberataques. Sin embargo, sus capacidades de detecci\u00f3n se limitan en su mayor\u00eda a ataques conocidos y tienden a generar una gran cantidad de alertas, muchas de las cuales son falsos positivos. As\u00ed, los operadores de ciberseguridad (CSO) deben supervisar una gran cantidad de alertas para determinar la ocurrencia real de incidentes, mientras que algunos de ellos permanecen sin ser detectados. Este proyecto tiene como objetivo desarrollar nuevas t\u00e9cnicas para mejorar las capacidades de detecci\u00f3n mediante la adici\u00f3n de nuevos m\u00e9todos basados en anomal\u00edas combinados con la correlaci\u00f3n y priorizaci\u00f3n de alertas incorporando informaci\u00f3n contextual de la red. Esto mejorar\u00e1 la calidad de las alertas y reducir\u00e1 la tasa de falsos positivos.<br \/>\r\n<br \/>\r\nEn esta propuesta se plantea el desarrollo de un NSM espec\u00edfico para plantas industriales con elementos del Internet of Things (IoT) y, m\u00e1s concretamente en uno de sus usos verticales: las SmartCity. Las instalaciones que pueden beneficiarse de la soluci\u00f3n objeto de este proyecto son aquellas que permiten el control y monitorizaci\u00f3n de parques de dispositivos inteligentes (IoT, SmartCity), desde una aplicaci\u00f3n o servicio web que se utiliza como interfaz de usuario para la gesti\u00f3n de servicios inteligentes. La elecci\u00f3n del escenario tiene<br \/>\r\nuna triple motivaci\u00f3n. Primero, por la gran relevancia y expansi\u00f3n de este tipo de redes en la actualidad. Segundo, el escenario plantea una serie dificultades y requisitos espec\u00edficos que no han sido convenientemente abordados en los SIEM actuales. Y tercero, la selecci\u00f3n del escenario permite acotar el contexto, lo que posibilita un abordaje adecuado de la incorporaci\u00f3n de informaci\u00f3n contextual.<br \/>\r\n<br \/>\r\nEl sistema a desarrollar incorporar\u00e1 m\u00faltiples detectores, incluyendo los usados habitualmente, considerando nuevos detectores espec\u00edficos para el escenario que est\u00e1n orientados a las diversas amenazas existentes. As\u00ed, se desarrollar\u00e1n detectores basados en anomal\u00edas a nivel del tr\u00e1fico observado (flujos), a nivel de aplicaci\u00f3n (sensorizaci\u00f3n) y a nivel de los servicios web usados para la operaci\u00f3n remota. Adicionalmente, se har\u00e1 uso de t\u00e9cnicas de inteligencia artificial para la correlaci\u00f3n y priorizaci\u00f3n de las alertas incorporando informaci\u00f3n relativa al estado e historia previa de la red. Esto permitir\u00e1 identificar falsos positivos, reducir el n\u00famero de alertas finalmente enviadas al CSO y mejorar la informaci\u00f3n en las mismas.<br \/>\r\n<br \/>\r\nUn elemento relevante y novedoso es el uso de una matriz de tr\u00e1fico generada a partir de flujos en diferentes escalas de tiempo. Esta matriz contiene informaci\u00f3n sobre las conexiones de red que pueden explotarse para m\u00faltiples usos. As\u00ed, se pueden establecer algunos indicadores de compromiso para identificar ataques. Tambi\u00e9n se puede utilizar para aplicar varios tipos de an\u00e1lisis de miner\u00eda de datos, como la b\u00fasqueda de patrones comunes entre flujos, realizar perfiles de tr\u00e1fico de servicios, evaluar la importancia y encontrar relaciones entre activos. La informaci\u00f3n extra\u00edda de esta matriz se utilizar\u00e1 como informaci\u00f3n contextual en la correlaci\u00f3n y priorizaci\u00f3n de alertas.<br \/>\r\n<br \/>\r\nFinalmente, la arquitectura propuesta incluye realimentaci\u00f3n a partir de las acciones del CSO, lo que permite evaluar la calidad de detecci\u00f3n y priorizaci\u00f3n y ajustar el rendimiento del sistema.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_3\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"\/neus-cslab\/proyectos-idi\/coincyde\" title=\"\/neus-cslab\/proyectos-idi\/coincyde\" target=\"_blank\">\/neus-cslab\/proyectos-idi\/coincyde<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_online\"><div class=\"tp_pub_info\"><p class=\"tp_pub_title\"> <span style=\"color: #038daa;font-size: 1,2rem;\"><b>PYC20-RE-087-USE<\/b> <\/span> &#8211; <a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('405','tp_links')\" style=\"cursor:pointer;\">Sistema para la detecci\u00f3n temprana de ciberataques en industria conectada e IoT mediante detecci\u00f3n de anomal\u00edas multiplanta<\/a><\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad financiadora: <\/span><i>Universidad de Sevilla &#8211; Junta de Andaluc\u00eda<\/i> &#8211; Proyectos singulares de actuaciones de transferencia en los CEI en las \u00e1reas RIS3 (CEI20)<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad\/es participantes: <\/span><i>Universidad de Sevilla, Wellness TechGroup como agente agregado<\/i> &#8211; <span style=\"color: #888888;\">N. invest.: <\/span>5<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Periodo: <\/span>01\/01\/2021 a 31\/12\/2022<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_405\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('405','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_405\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('405','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_405\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@online{cei2,<br \/>\r\ntitle = {Sistema para la detecci\u00f3n temprana de ciberataques en industria conectada e IoT mediante detecci\u00f3n de anomal\u00edas multiplanta},<br \/>\r\nurl = {\/neus-cslab\/proyectosidi\/cei2},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\nurldate = {2021-01-01},<br \/>\r\nissuetitle = {Proyectos singulares de actuaciones de transferencia en los CEI en las \u00e1reas RIS3 (CEI20)},<br \/>\r\nnumber = {PYC20-RE-087-USE},<br \/>\r\npages = {5},<br \/>\r\ninstitution = {Universidad de Sevilla, Wellness TechGroup como agente agregado},<br \/>\r\norganization = {Universidad de Sevilla - Junta de Andaluc\u00eda},<br \/>\r\nseries = {01\/01\/2021 a 31\/12\/2022},<br \/>\r\nnote = {68550 \u20ac},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {online}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('405','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_405\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"\/neus-cslab\/proyectosidi\/cei2\" title=\"\/neus-cslab\/proyectosidi\/cei2\" target=\"_blank\">\/neus-cslab\/proyectosidi\/cei2<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('405','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_online\"><div class=\"tp_pub_info\"><p class=\"tp_pub_title\"> <span style=\"color: #038daa;font-size: 1,2rem;\"><b>PI-2132\/22\/2021<\/b> <\/span> &#8211; <a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('420','tp_links')\" style=\"cursor:pointer;\">Detecci\u00f3n de ciberamenazas en los sistemas de monitorizaci\u00f3n y control de instalaciones de Generaci\u00f3n Renovables (RENSHIELD)<\/a><\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad financiadora: <\/span><i>Isotrol \/ Ministerio Ciencia y Tecnolog\u00eda<\/i><\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad\/es participantes: <\/span><i>AICIA<\/i> &#8211; <span style=\"color: #888888;\">N. invest.: <\/span>6<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Periodo: <\/span>01\/06\/2021 a 31\/12\/2023<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_420\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('420','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_420\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('420','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_420\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@online{renshield,<br \/>\r\ntitle = {Detecci\u00f3n de ciberamenazas en los sistemas de monitorizaci\u00f3n y control de instalaciones de Generaci\u00f3n Renovables (RENSHIELD)},<br \/>\r\nurl = {\/neus-cslab\/renshield\/},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\nurldate = {2021-01-01},<br \/>\r\nnumber = {PI-2132\/22\/2021},<br \/>\r\npages = {6},<br \/>\r\ninstitution = {AICIA},<br \/>\r\norganization = {Isotrol \/ Ministerio Ciencia y Tecnolog\u00eda},<br \/>\r\nseries = {01\/06\/2021 a 31\/12\/2023},<br \/>\r\nnote = {59994,45 \u20ac},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {online}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('420','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_420\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"\/neus-cslab\/renshield\/\" title=\"\/neus-cslab\/renshield\/\" target=\"_blank\">\/neus-cslab\/renshield\/<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('420','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_online\"><div class=\"tp_pub_info\"><p class=\"tp_pub_title\"> <span style=\"color: #038daa;font-size: 1,2rem;\"><b>2020\/00000172<\/b> <\/span> &#8211; Detecci\u00f3n Inteligente de Incidentes de Ciberseguridad en redes IoT en base a n-gram\u00e1ticas adaptativas<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad financiadora: <\/span><i>US &#8211; Junta de Andaluc\u00eda<\/i> &#8211; Proyectos singulares de actuaciones de transferencia en los CEI en las \u00e1reas RIS3<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad\/es participantes: <\/span><i>Universidad de Sevilla, Wellness TechGroup como agente agregado<\/i><\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Periodo: <\/span>01\/03\/2020\ta 30\/09\/2021<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_407\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('407','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_407\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@online{cei1,<br \/>\r\ntitle = {Detecci\u00f3n Inteligente de Incidentes de Ciberseguridad en redes IoT en base a n-gram\u00e1ticas adaptativas},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nurldate = {2020-01-01},<br \/>\r\nissuetitle = {Proyectos singulares de actuaciones de transferencia en los CEI en las \u00e1reas RIS3},<br \/>\r\nnumber = {2020\/00000172},<br \/>\r\ninstitution = {Universidad de Sevilla, Wellness TechGroup como agente agregado},<br \/>\r\norganization = {US - Junta de Andaluc\u00eda},<br \/>\r\nseries = {01\/03\/2020\ta 30\/09\/2021},<br \/>\r\nnote = {33000 \u20ac},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {online}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('407','tp_bibtex')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_online\"><div class=\"tp_pub_info\"><p class=\"tp_pub_title\"> <span style=\"color: #038daa;font-size: 1,2rem;\"><b>PI-1814\/26\/2018<\/b> <\/span> &#8211; Red El\u00e9ctrica cibersegura 1<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad financiadora: <\/span><i>Isotrol \/ Ministerio Ciencia y Tecnolog\u00eda (Programa CIEN)<\/i><\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Entidad\/es participantes: <\/span><i>AICIA<\/i> &#8211; <span style=\"color: #888888;\">N. invest.: <\/span>4<\/p><p class=\"tp_pub_additional\"> <span style=\"color: #888888;\">Periodo: <\/span>01\/01\/2018 a 31\/12\/2021<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_424\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('424','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_424\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@online{rec,<br \/>\r\ntitle = {Red El\u00e9ctrica cibersegura 1},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-01-01},<br \/>\r\nurldate = {2018-01-01},<br \/>\r\nnumber = {PI-1814\/26\/2018},<br \/>\r\npages = {4},<br \/>\r\ninstitution = {AICIA},<br \/>\r\norganization = {Isotrol \/ Ministerio Ciencia y Tecnolog\u00eda (Programa CIEN)},<br \/>\r\nseries = {01\/01\/2018 a 31\/12\/2021},<br \/>\r\nnote = {57340 \u20ac},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {online}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('424','tp_bibtex')\">Cerrar<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Seguridad en IoT En la \u00faltima d\u00e9cada, el Internet de las cosas (IoT) ha experimentado un crecimiento significativo en varios dominios, como Industria 4.0,\u00a0Smart Cities, o Smart Homes. Este \u00e9xito tambi\u00e9n ha planteado nuevos desaf\u00edos de seguridad, incluido el dise\u00f1o de software,\u00a0arquitecturas y modelos de seguridad que aborden las amenazas cibern\u00e9ticas en todas las capas [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":876,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_front_end_style_editor":"no","ocean_post_layout":"full-width","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"class_list":["post-1718","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/1718","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/comments?post=1718"}],"version-history":[{"count":27,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/1718\/revisions"}],"predecessor-version":[{"id":1892,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/1718\/revisions\/1892"}],"up":[{"embeddable":true,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/876"}],"wp:attachment":[{"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/media?parent=1718"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}