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