Biblio
Filters: Author is Idir, Mohamed Yacine [Clear All Filters]
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2022. A machine learning based approach for the detection of sybil attacks in C-ITS. 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). :1–4.
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.