A systematic approach for attack analysis and mitigation in V2V networks

Abstract

The increasing popularity of V2V networks with the rise of driverless cars in the recent years have made them vulnerable to attacks in growing complexity. Accurate assessment of the safety and security needs of V2V networks based on context and the costs associated with attack mitigation mechanisms are significant for successful operation of these networks despite adversaries trying to disrupt their functions. In this paper we provide an analysis of the major security and reliability issues in V2V networks, and propose a systematic approach for the analysis and mitigation of attacks, based on the break-down of attacks into common feature sets. We also provide cost analyses of major classes of V2V attacks using the proposed model. The proposed analysis approach is promising to provide guidance for research in optimization models for tradeoffs between security, safety and performance requirements in V2V.