A Systematic Approach for Cyber Security in Vehicular Networks

Vehicular Networks (VANET) are the largest real-life paradigm of ad hoc networks which aim to ensure road safety and enhance drivers’ comfort. In VANET, the vehicles communicate or collaborate with each other and with adjacent infrastructure by exchanging significant messages, such as road accident warnings, steep-curve ahead warnings or traffic jam warnings. However, this communication and other assets involved are subject to major threats and provide numerous opportunities for attackers to launch several attacks and compromise security and privacy of vehicular users. This paper reviews the cyber security in VANET and proposes an asset-based approach for VANET security. Firstly, it identifies relevant assets in VANET. Secondly, it provides a detailed taxonomy of vulnerabilities and threats on these assets, and, lastly, it classifies the possible attacks in VANET and critically evaluates them

A systematic approach for attack analysis and mitigation in V2V networks

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