The development of wireless Vehicular Ad-Hoc Network (VANET) aimed to enhance road's safety and provide comfortable driving environment by delivering early warning and infotainment messages. Intentional jamming attacks target at undermining such a goal by disrupting wireless communications. While detecting jamming attacks is important towards enhancing road safety, it is challenging because VANET operates in outdoor environment (highly changeable road conditions and atmospheric phenomena), and encompasses volatile topology and high mobility of vehicles (traveling speed and directions). To overcome these challenges, in this work, we study jamming attack mobility and behaviors in IEEE802.11p networks. In particular, we focus on analyzing jamming impact based on jammers behaviors, and mobility patterns. Thus, in order to achieve reliable detection, first we identify the impact of vehicles' density on network performance. Then, we study jamming effectiveness when adopting different mobility patterns (stationary, random, or targeting) and behaviors (constant, random, and reactive). Finally, we propose a two phase detection algorithm and evaluate it in a simulation environment. Our approach shows promising results to detect different types of jammers accurately in IEEE802.11p networks.
['Sharaf Malebary', 'Wenyuan Xu', 'Chin-Tser Huang']
Jamming mobility in 802.11p networks: Modeling, evaluation, and detection