A machine learning based approach for the detection of sybil attacks in C-ITS | |
---|---|
Author | |
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. |
Year of Publication |
2022
|
Conference Name |
2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS)
|
Google Scholar | BibTeX |