Energy Efficient Distributed Anomaly Detection using Semi-Supervised Models in IoT

Utilizing IoT technologies for monitoring large-scale smart facilities such as power, water and gas distribution networks has been the subject of many studies recently. The aim is to detect anomalous events in the network due to elements’ failure, bad designs, attacks or abuses of the network and al...

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Bibliographic Details
Main Authors: Mostafa Shabani, Omid Bushehrian
Format: Article
Language:English
Published: Iran Telecom Research Center 2024-02-01
Series:International Journal of Information and Communication Technology Research
Subjects:
Online Access:http://ijict.itrc.ac.ir/article-1-592-en.pdf