Exploiting Non-Cooperative Game Against Cache Pollution Attack in Vehicular Content Centric Network

Abstract

Vehicular Content Centric Network (VCCN) has been proposed to address the issues of user mobility and sporadic connectivity in VANET. The in-network caching of VCCN can indeed improve the performance of content distribution. However, data caching unfortunately suffers from Cache Pollution Attack (CPA) that sends out fabricated requests to pollute the data cache. To prevent the degradation of network performance caused by such an attack, we propose a detection and defense scheme of CPA by adopting game theory. We model the poisoning attack scenario into a non-cooperative game model. First, we prove the non-existence of pure strategy Nash Equilibrium (NE) in the attacker and defender game and propose a normal form game model with complete information and an extensive Bayesian form game model with incomplete information. Under the guidance of NE, we design a punishment strategy to prevent the coordinated attack and make the attackers behave normally. Moreover, we design a cooperative detection scheme to give the road side unit the final decision on CPA based on the direct and indirect suspicious lists which are generated by each node according to the observed traffic pattern. Simulation evaluations demonstrate that our scheme has a better performance compared to other state-of-the-art schemes.