{"id":1340,"date":"2023-04-10T12:17:27","date_gmt":"2023-04-10T10:17:27","guid":{"rendered":"https:\/\/dtstc.ugr.es\/neus-cslab\/?page_id=1340"},"modified":"2024-12-11T18:59:01","modified_gmt":"2024-12-11T17:59:01","slug":"ds-smartlighting","status":"publish","type":"page","link":"https:\/\/dtstc.ugr.es\/neus-cslab\/recursos\/ds-smartlighting\/","title":{"rendered":"Smart Lighting &#8211; Dataset tr\u00e1fico real"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1340\" class=\"elementor elementor-1340\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-68cb644 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"68cb644\" 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-top-column elementor-element elementor-element-63d1aee\" data-id=\"63d1aee\" 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-9e4d26c elementor-widget elementor-widget-image\" data-id=\"9e4d26c\" 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 fetchpriority=\"high\" decoding=\"async\" width=\"443\" height=\"295\" src=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/street-lights-2-e1688439229794.jpg\" class=\"attachment-large size-large wp-image-3120\" alt=\"\" srcset=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/street-lights-2-e1688439229794.jpg 443w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/street-lights-2-e1688439229794-300x200.jpg 300w\" sizes=\"(max-width: 443px) 100vw, 443px\" \/>\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<div class=\"elementor-element elementor-element-c74a3d7 elementor-widget elementor-widget-progress\" data-id=\"c74a3d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"progress.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<span class=\"elementor-title\" id=\"elementor-progress-bar-c74a3d7\">\n\t\t\t\tProgreso\t\t\t<\/span>\n\t\t\n\t\t<div aria-labelledby=\"elementor-progress-bar-c74a3d7\" class=\"elementor-progress-wrapper\" role=\"progressbar\" aria-valuemin=\"0\" aria-valuemax=\"100\" aria-valuenow=\"100\">\n\t\t\t<div class=\"elementor-progress-bar\" data-max=\"100\">\n\t\t\t\t<span class=\"elementor-progress-text\"><\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-progress-percentage\">100%<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\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-66 elementor-top-column elementor-element elementor-element-432acc4\" data-id=\"432acc4\" 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-36b8fbc elementor-widget elementor-widget-heading\" data-id=\"36b8fbc\" 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\">Smart Lighting - Dataset IoT<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39a8da9 elementor-position-inline-start elementor-view-default elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"39a8da9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-barcode\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tTipo contribuci\u00f3n\/resultado\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tDataset p\u00fablico\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-05da634 elementor-position-inline-start elementor-view-default elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"05da634\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-file-contract\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tDescripci\u00f3n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tDataset de tr\u00e1fico real IoT en un despliegue de Smart Lighting  \t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fa6a31 elementor-position-right elementor-vertical-align-bottom elementor-widget elementor-widget-image-box\" data-id=\"5fa6a31\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"360\" height=\"103\" src=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2022\/03\/descarga.png\" class=\"attachment-full size-full wp-image-767\" alt=\"\" srcset=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2022\/03\/descarga.png 360w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2022\/03\/descarga-300x86.png 300w\" sizes=\"(max-width: 360px) 100vw, 360px\" \/><\/figure><div class=\"elementor-image-box-content\"><p class=\"elementor-image-box-description\">Este resultado ha sido parcialmente financiado por  MCIN\/ AEI\/10.13039\/501100011033\/<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f340487 elementor-position-right elementor-vertical-align-bottom elementor-widget elementor-widget-image-box\" data-id=\"f340487\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"777\" height=\"243\" src=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/feder-ja.png\" class=\"attachment-full size-full wp-image-2001\" alt=\"\" srcset=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/feder-ja.png 777w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/feder-ja-300x94.png 300w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/04\/feder-ja-768x240.png 768w\" sizes=\"(max-width: 777px) 100vw, 777px\" \/><\/figure><div class=\"elementor-image-box-content\"><p class=\"elementor-image-box-description\">Este resultado ha sido parcialmente financiado por  FEDER\/ Junta de Andaluc\u00eda<\/p><\/div><\/div>\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-2e2a071 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2e2a071\" 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-345449c\" data-id=\"345449c\" 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-95aa04c elementor-widget elementor-widget-heading\" data-id=\"95aa04c\" 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\">Presentaci\u00f3n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-898a059 elementor-widget elementor-widget-text-editor\" data-id=\"898a059\" 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 style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align;\">El desarrollo y evaluaci\u00f3n de sistemas de detecci\u00f3n de intrusos basados en anomal\u00edas (AIDS) requiere de <b>conjuntos de datos de entrenamiento<\/b> adecuados. Este nuevo conjunto de datos disponible para la comunidad cient\u00edfica\u00a0 tiene como objetivo posibilitar su uso en escenarios de tipo IoT Smart Lighting.<\/p><p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align;\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-3103 aligncenter\" src=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/escenario-smartlighting.png\" alt=\"\" width=\"367\" height=\"274\" srcset=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/escenario-smartlighting.png 1361w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/escenario-smartlighting-300x223.png 300w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/escenario-smartlighting-1024x762.png 1024w, https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/escenario-smartlighting-768x572.png 768w\" sizes=\"(max-width: 367px) 100vw, 367px\" \/><\/p><p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align;\">Ha sido recopilado en un escenario real correspondiente al despliegue de una soluci\u00f3n de iluminaci\u00f3n inteligente comercial operando en condiciones normales (v\u00e9ase la figura). Sus principales caracter\u00edsticas son:<\/p><p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 40pt;\">&#8211; <b>Real<\/b>: ha sido adquirido a partir de la operaci\u00f3n real del sistema e incluye todo el tr\u00e1fico observado en el servidor de control durante los periodos de adquisici\u00f3n.<\/p><p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 40pt;\">&#8211; <b>Elevado volumen de datos y lapso de tiempo<\/b>: incluye m\u00e1s de 150 mil flujos y m\u00e1s de medio mill\u00f3n de registros de telemetr\u00eda tomados en dos periodos de tiempo separados 4 meses.\u00a0<\/p><p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align;\">El conjunto de datos obtenido puede utilizarse para el <b>entrenamiento y evaluaci\u00f3n<\/b> de sistemas de detecci\u00f3n de intrusiones tanto a nivel de red como de aplicaci\u00f3n.<\/p><p style=\"text-align: justify; text-indent: 20pt; line-height: 150%; font-family: 'Lato',serif; font-style: normal; font-weight: 300; justify-content: align;\">\u00a0<\/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-8b995d0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8b995d0\" 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-b74be58\" data-id=\"b74be58\" 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-b31d0a0 elementor-widget elementor-widget-heading\" data-id=\"b31d0a0\" 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\">Procedimiento<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3348a58 elementor-widget elementor-widget-text-editor\" data-id=\"3348a58\" 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<span style=\"color: #038daa; font-size: 120%;\"><strong>Adquisici\u00f3n del dataset<\/strong><\/span>\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;\">El\u00a0 dataset <i style=\"mso-bidi-font-style: normal;\">Smart Lighting<\/i> contiene tr\u00e1fico recogido en 2021 por una empresa con despliegues de sistemas de iluminaci\u00f3n inteligente en 30 pa\u00edses y 400 ciudades de todo el mundo. Los datos incorporados corresponden a la captura de los paquetes intercambiados entre las unidades de control de las luminarias (LCU, Smart Light Control Unit) y el servidor de operaci\u00f3n y mantenimiento (O&amp;M). En particular, el dataset corresponde a las comunicaciones de un despliegue compuesto por 70 LCU. Por razones de <strong>privacidad<\/strong>, los datos originales han sido analizados y parametrizados dando lugar a dos bloques de datos:<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 40pt;\">&#8211; <b>DSl<\/b>: Informes de tr\u00e1fico <strong>IPFIX <\/strong>(cada 5 min) del\ntr\u00e1fico intercambiado entre el servidor y 70 LCUs entre el 30 de junio y el 19 de julio de 2021. El n\u00famero total de registros IPFIX es de 153 014, siendo COAP (datos telem\u00e9tricos) y HTTP (comandos a LCU) los protocolos m\u00e1s utilizados.<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 40pt;\">&#8211; <b>DS2<\/b>:\nLos registros en la base de datos de series temporales con la informaci\u00f3n de <b>telemetr\u00eda <\/b>enviada por 68 LCU entre el 9 de\nenero y el 14 de febrero de 2021, y tambi\u00e9n los registros enviados por 66 LCU entre el 12 y el 19 de julio, lo que supone un total de 549.682 registros<\/p>\n<span style=\"color: #038daa; font-size: 120%;\"><b>Limpieza y etiquetado<\/b><\/span>\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;\">No se ha realizado ning\u00fan etiquetado de los datos. Durante el periodo de adquisici\u00f3n, el operador no registr\u00f3 ning\u00fan ataque ni comportamiento an\u00f3malo, por lo que se asume que todo el tr\u00e1fico corresponde a tr\u00e1fico limpio.<\/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;\">Se ha realizado un filtrado de los registros sint\u00e1cticamente incorrectos, que se deben a errores\/problemas con la generaci\u00f3n de los informes IPFIX o la extracci\u00f3n de datos de telemetr\u00eda.<\/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;\">N\u00f3tese que, debido a la naturaleza real de los datos, existen diversos artefactos en los mismos. Entre otros, se pueden identificar episodios de ausencia de datos de telemetr\u00eda y errores en las mediciones.<\/p>\n&nbsp;\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-62e4433 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"62e4433\" 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-2c64674\" data-id=\"2c64674\" 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-6476415 elementor-widget elementor-widget-heading\" data-id=\"6476415\" 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\">Dataset - Resultado<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f99de88 elementor-widget elementor-widget-text-editor\" data-id=\"f99de88\" 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<span style=\"color: #038daa; font-size: 120%;\"><strong>Adquisici\u00f3n del dataset<\/strong><\/span>\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;\">El dataset se proporciona a partir de dos bloques:<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 40pt;\">&#8211; <b>DS1: Flujos IPFIX<\/b>: Un archivo ipfix.csv, que contiene la informaci\u00f3n correspondiente a los flujos generados por los LCU (DS1), en formato CSV. Cada registro (l\u00ednea) contiene la informaci\u00f3n de un flujo, incluyendo un total de 6 caracter\u00edsticas. Se han identificado tres tipos de flujos en este dataset:<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 60pt;\">&#8211; Flujos HTTP: tr\u00e1fico de acceso al servidor web<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 60pt;\">&#8211; Flujo COAP: tr\u00e1fico con los datos de telemetr\u00eda desde las LCU al servidor de control.<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 60pt;\">&#8211; Desconocidos.<\/p>\n<p style=\"text-align: justify; text-indent: -20pt; line-height: normal; margin: 5.0pt 20pt 1pt 40pt;\">&#8211; <b>DS2: Telemetr\u00eda<\/b>: Una base de datos de series temporales. Contiene un total de 71 archivos en formato CSV. Cada archivo contiene los registros (l\u00edneas) de las mediciones el\u00e9ctricas de cada uno de los dispositivos LCU. Se han registrado un total de 25 variables para cada LCU.<\/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;\">Todos los archivos tienen formato CSV.<\/p>\n<span style=\"color: #038daa; font-size: 120%; margin: 20px;\"><strong>Formato registros en DS2\n<\/strong><\/span>\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;\">El contenido de los registros de telemetr\u00eda se muestra en la siguiente tabla. N\u00f3tese que existen 3 l\u00edneas para cada LCU, lo que da lugar a que algunas variables presentan tres valores (i=1,2,3).<\/p>\n\n<table style=\"align: center; width: auto !important; font-size: 1.2rem; border-color=rgb(3,141,170);box-sizing: border-box; margin-bottom: 0px; border: 2px solid #038daa; margin-left: auto; margin-right: auto;\">\n<thead style=\"background-color: #038daa; color: #ffffff; border-width: 1px; border-spacing: 0px; padding: 0px; padding-right: 5px; padding-left: 5px;\">\n<tr style=\"font-size: 1.4rem;\">\n<th style=\"padding: 0px; padding-left: 5px; padding-right: 5px; text-align: center;\"><b>Variable<\/b><\/th>\n<th style=\"padding: 0px; padding-left: 5px; padding-right: 5px; text-align: center;\"><b>Descripci\u00f3n<\/b><\/th>\n<\/tr>\n<\/thead>\n<tbody style=\"padding: 0px;\">\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Pow(j)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Potencia consumida en la l\u00ednea i<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">APow(i)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">x3 Potencia activa en la l\u00ednea i<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">RPow(i)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Potencia reactiva en la l\u00ednea i<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Int(i)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Intensidad en la l\u00ednea i<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Vol(i)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Voltaje en la l\u00ednea i<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">PF(i)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Factor de potencia en la l\u00ednea i<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">PF<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Factor de potencia total<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Freq<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Frecuencia<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Vol<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Voltaje total<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Pow<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Potencia total consumida<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">APow<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Potencia activa total<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">RPow<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Potencia reactiva total<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">TS<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Marca de tiempo<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 0px; padding-left: 5px; text-align: left; padding-right: 5px; border: 1px solid #038daa;\">Vol(i)<\/td>\n<td style=\"padding: 0px; padding-left: 5px; text-align: right; padding-right: 5px; border: 1px solid #038daa;\">Voltaje en la l\u00ednea i<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\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-5792bad elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5792bad\" 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-b87bc39\" data-id=\"b87bc39\" 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-d2726d3 elementor-widget elementor-widget-heading\" data-id=\"d2726d3\" 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\">Documentos t\u00e9cnicos \/ recursos<\/h2>\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-e52db17 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e52db17\" 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-inner-column elementor-element elementor-element-b5caedd\" data-id=\"b5caedd\" 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-934fb8c elementor-widget elementor-widget-text-editor\" data-id=\"934fb8c\" 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<ul><li><a href=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2023\/08\/README.txt\">\u00a0<\/a>El dataset est\u00e1 disponible en:<\/li><\/ul><pre><a href=\"https:\/\/gitlab.com\/neus_cslab\/a-ids-smart-lighting-supplemental-material\">https:\/\/gitlab.com\/neus_cslab\/a-ids-smart-lighting-supplemental-material<\/a><\/pre><ul><li>Archivo README.md<\/li><\/ul><div><pre><a href=\"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-content\/uploads\/2024\/12\/README.md_.txt\"><code><i class=\"fas fa-file\"><\/i> README.md<\/code><\/a><\/pre><\/div><p><span style=\"color: #038daa; font-size: 120%; margin: 20px;\"><strong>Publicaciones<\/strong><\/span><\/p><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><\/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\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>Progreso 100% Smart Lighting &#8211; Dataset IoT Tipo contribuci\u00f3n\/resultado Dataset p\u00fablico Descripci\u00f3n Dataset de tr\u00e1fico real IoT en un despliegue de Smart Lighting Este resultado ha sido parcialmente financiado por MCIN\/ AEI\/10.13039\/501100011033\/ Este resultado ha sido parcialmente financiado por FEDER\/ Junta de Andaluc\u00eda Presentaci\u00f3n El desarrollo y evaluaci\u00f3n de sistemas de detecci\u00f3n de intrusos basados [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":911,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","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-1340","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/1340","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=1340"}],"version-history":[{"count":34,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/1340\/revisions"}],"predecessor-version":[{"id":3123,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/1340\/revisions\/3123"}],"up":[{"embeddable":true,"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/pages\/911"}],"wp:attachment":[{"href":"https:\/\/dtstc.ugr.es\/neus-cslab\/wp-json\/wp\/v2\/media?parent=1340"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}