Mohamed Yacine Idir

A machine learning based approach for the detection of sybil attacks in c-ITS

By Badis Hammi, Mohamed Yacine Idir, Rida Khatoun

2022-09-01

In The 23rd asia-pacific network operations and management symposium

Abstract

The intrusion detection systems are vital for the sustainability of Cooperative Intelligent Transportation Systems (C-ITS) and the detection of sybil attacks are particularly challenging. 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.

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