Game Theoretic Model for Jamming Attack Mitigation in Wireless Sensor Networks

Abstract

Jamming attack is a form of denial of service attack that disrupts normal network operations. These attacks which are broadly categorized as constant jamming, deceptive jamming, random jamming or reactive jamming are able to send malicious signals in a network thereby reducing throughput and resulting to excessive energy consumption and power drainage on the part of wireless sensors associated with the compromised network. This work employs Game Theory Technique to model and mitigate jamming attacks in wireless sensor network. A comparative analysis was done between the developed enhanced security framework - game theory solution and optimal strategy reviewed in this work and it was observed that at maximum number of malicious nodes (16), enhanced game theory solution developed in this reduced average energy consumption by 11.6% and 27.49% when compared with game theory and optimal strategy solution respectively. The same applies to average delay where there is an improvement of 10.6% and 22% respectively while for average throughput, there is a 13.2% and 19.05% improvement.