A Secure Model Based on Game Theoretic Malicious Detection Mechanism for MANETs

Abstract

Mobile Ad Hoc network security is facing tougher challenges due to emerging purposive strategic attacks conducted by smart malicious nodes. All these purposive strategic attacks run out of the throughput which results in network crashes. In this paper, we have proposed a secure model based on two-level dynamic Bayesian game theory to recognize these purposive strategic attacks in MANETs and establish a malicious nodes detection system isolating such attacks. The simulation results have demonstrated that the proposed model can effectively enhance cooperative performance and maintain packet forwarding rate under the purposive strategic attacks. Besides, through two-level decision, the system performs well in reducing the false alarming rate for large proportion of malicious nodes in MANETs.