Context-aware security for the Intra-Electric Vehicle Network under energy constraints

Smart Vehicle applications are generally designed to ensure the driver's and passenger's safety as well as to improve the traffic management and provide convenience services. On the other hand, the researchers and industrialists consider Electric Vehicle as a key technology contributing to the reduction of CO2 emissions. Many attacks, such as vehicle remote control and engine management software reboot, can be performed on the Smart Electric Vehicle Network and affect the driver's safety. To protect the Smart Vehicle traffic, it is necessary to protect all the involved systems (cloud services, applications, automotive components, Intra-Vehicle Network, maintenance and diagnostic tools, etc.). The main objective of this work is to secure the communication of the in-vehicle sensors by proposing a context-aware security solution based on the dynamic driving context. This solution applies a set of security strategies according to the State Of Charge (SOC), the distance to the nearest available charging station, the type of sensors, the sensor resources (memory and processing) and the traffic conditions. Simulation experiments were conducted to evaluate the proposed approach in terms of the trade-off between security and energy.