Optimization of Inference Intrusion Detection System in Wireless Networks Using Hybrid Genetic Algorithm

Abstract

Nowadays, with the advancement of communication technologies, the establishment of communication needed to set up networks is possible by the aid of different techniques. A wireless sensor network consists of a large number of sensor nodes that have been densely dispersed in the environment. The issue of cooperative intrusion detection in the wireless sensor networks has always been challenging due to the shortage of available energy resources for the participating nodes. Power consumption ratio, network reporting delay time period, network coverage ratio and information quality are the objectives in the wireless network that are contradictory to each other. The issue of determining the type of function and the duties of nodes in intrusion detection has been considered as a multi-objective optimization issue, which aims to minimize power consumption and reporting delay and to maximize the information accuracy and network coverage. By many simulations, scalable solutions are for large networks to solve the problem, and to reach more optimal responses the hybrid genetic algorithm has been used.