Load Balancing Approach For The Ad Hoc Wireless Intrusion Detection Simulation Framework

Ad hoc wireless networks are widely utilized type of wireless networks today. More than any other network topology, they are vulnerable to intrusions, as they operate in an open medium and use cooperative strategies for network management and communications. In this paper we present a distributed intrusion detection simulation test-bed for ad hoc wireless networks based on mobile agent technology, and propose a load balancing algorithm that optimizes the allocation of intrusion detection tasks to various nodes within each wireless cluster, while maintaining high degree of intrusion detection accuracy. The load balancing policy enables intrusion detection system to efficiently allocate IDS tasks based on each wireless node's available resources, minimizing overall resource usage in the system. In contrast to many intrusion detection systems designed for wired networks, we develop an efficient and bandwidth-conscious framework that targets intrusions at multiple levels and takes into account distributed nature of ad hoc wireless network management and decision policies.