Intelligent Anomaly Detection System for IoT

The growing use of the Internet of Things (IoT) in different areas implies a proportional growth in threats and attacks on end devices. To solve this problem, the IoT systems must be equipped with an anomaly detection system (ADS). This work introduces the design of a hybrid ADS based on the Softwar...

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Detalles Bibliográficos
Autores principales: Bolatti, Diego, Karanik, Marcelo J., Todt, Carolina, Scappini, Reinaldo José Ramón, Gramajo, Sergio D.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
IoT
Anomaly detection
Machine learning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/125150
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-125150
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
IoT
Anomaly detection
Machine learning
spellingShingle Ciencias Informáticas
IoT
Anomaly detection
Machine learning
Bolatti, Diego
Karanik, Marcelo J.
Todt, Carolina
Scappini, Reinaldo José Ramón
Gramajo, Sergio D.
Intelligent Anomaly Detection System for IoT
topic_facet Ciencias Informáticas
IoT
Anomaly detection
Machine learning
description The growing use of the Internet of Things (IoT) in different areas implies a proportional growth in threats and attacks on end devices. To solve this problem, the IoT systems must be equipped with an anomaly detection system (ADS). This work introduces the design of a hybrid ADS based on the Software-Defined Network (SDN) architecture, which combines the rule-based and Machine Learning-based detection technique. Whereas the rule-based approach is used to detect known attacks with the help of rules defined by security experts. And the Machine Learning approach is used to detect unknown attacks with the help of Artificial Intelligence techniques.
format Objeto de conferencia
Objeto de conferencia
author Bolatti, Diego
Karanik, Marcelo J.
Todt, Carolina
Scappini, Reinaldo José Ramón
Gramajo, Sergio D.
author_facet Bolatti, Diego
Karanik, Marcelo J.
Todt, Carolina
Scappini, Reinaldo José Ramón
Gramajo, Sergio D.
author_sort Bolatti, Diego
title Intelligent Anomaly Detection System for IoT
title_short Intelligent Anomaly Detection System for IoT
title_full Intelligent Anomaly Detection System for IoT
title_fullStr Intelligent Anomaly Detection System for IoT
title_full_unstemmed Intelligent Anomaly Detection System for IoT
title_sort intelligent anomaly detection system for iot
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/125150
work_keys_str_mv AT bolattidiego intelligentanomalydetectionsystemforiot
AT karanikmarceloj intelligentanomalydetectionsystemforiot
AT todtcarolina intelligentanomalydetectionsystemforiot
AT scappinireinaldojoseramon intelligentanomalydetectionsystemforiot
AT gramajosergiod intelligentanomalydetectionsystemforiot
bdutipo_str Repositorios
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