RICAV: RIsk based context-aware security solution for the intra-electric vehicle network

Abstract

Smart electric vehicles are equipped with many ECU (Electronic Control Unit) that provide high levels of safety and comfort to the drivers. However, the intra-vehicle networks are targeted by hackers as they are of great interest both in terms of processing power (botnets) and in terms of economic value (ransomware). Therefore, static security solutions were proposed, both by researchers and car manufacturers, to secure the Intra-Electric Vehicle Sensors network (IVSN). However, these solutions are energy-intensive and could deplete the battery along the travel, affecting the driver safety.For this purpose, we aim to propose an adaptive security solution, called RIsk-based Context-Aware security solution for the intra-Vehicle network (RICAV), that considers the electric vehicle context (energy, distance to the charging stations, traffic state, etc) and the risk assessment value to provide a trade-off between security and energy consumption. Simulation experiments were conducted to evaluate the proposed approach in terms of robustness and energy consumption.