Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game

Abstract

To apply intrusion detection system (IDS) efficiently so as to suppress WSN malware propagation,a cloud-based network infrastructure for realizing functions of WSN IDS was presented,considering the real basis that the resources of WSN nodes were limited whilst the resources of cloud computing platform were almost unlimited.Based on the analysis of the game process between a sensor node and the corresponding WSN IDS agent,a WSN-malware-propagation-suppression game model was constructed by employing the dynamic Bayesian game,and the requirements of energy consumption in sending monitored data and privacy protection for sensor nodes were satisfied.According to the proposed game type and refined Bayesian equilibrium,the optimal strategie for suppressing WSN malware was proposed as well the algorithm for actual application was given.The factors that influence WSN IDS agents to select their optimal strategies were analyzed,and the experimental foundation was provided for the application of the proposed approach.

Keywords

• wireless sensor network;malware;intrusion detection system;cloud computing;dynamic Bayesian game