Summary
Asia-Pacific Network Operations and Management Symposium
2022
Session Number:PS2
Session:
Number:PS2-09
A machine learning based approach for the detection of sybil attacks in C-ITS
Badis HAMMI , Mohamed Yacine IDIR, Rida KHATOUN,
pp.-
Publication Date:2022/09/28
Online ISSN:2188-5079
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Summary:
Cooperative Intelligent Transportation Systems (C- ITS) are gaining ground and are almost part of our everyday life. Unfortunately, such environments are increasingly the target to different attacks and sybil attacks are considered to be among the most dangerous ones. In this context, the intrusion detection systems are vital for the sustainability of C-ITS and the detection of sybil attacks are particularly challenging. Therefore, in this work, we propose a novel approach for the detection of sybil attacks in C-ITS environments. We provide an evaluation of our approach using extensive simulations that rely on real traces, showing our detection approach's effectiveness.