Facultad Regional Resistencia
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Item Baseline text for proposed new work item to develop a technical report of intelligent anomaly detection system for IoT(INTERNATIONAL TELECOMMUNICATION UNION TELECOMMUNICATION STANDARDIZATION SECTOR, 2020-07-07) Bolatti, Diego; Karanik, Marcelo; Scappini, Reinaldo; Todt, CarolinaThis document presents an update of the technical report on Intelligent Anomaly Detection System for IoT (Y.STR-IADIoT) and seeks agreement that it be the basis of future work.Item Intelligent anomaly detection system for IoT(2021-05-22) Bolatti, Diego; Karanik, Marcelo; Todt, Carolina; Scappini, Reinaldo; Gramajo, SergioThe 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