Abstract
A data-mining-based method for real-time detection of radio jamming denial-of-service attacks in the IEEE 802.11p vehicle-to-vehicle (V2V) communications is proposed. The method aims at understanding the reasons for losses of periodic cooperative awareness messages (CAMs) exchanged by vehicles in a platoon. Detection relies on a knowledge of the IEEE 802.11p protocol rules as well as on the historical observation of events in the V2V channel. In comparison with the state-of-the-art method, the proposed method allows operating under the realistic assumption of random jitter accompanying every CAM transmission. The method is evaluated for two jamming models: random and ON-OFF.
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