COGNITIVE AGENTS BASED SECURITY SCHEME TO HANDLE ROUTING LOOPS IN WIRELESS NETWORKS

Abstract

Routers in wireless networks are often prone to variety of attacks like a man in the middle, distributed denial of service, smurf, ping of death, routing loops, counting to infinity. Among all these attacks routing loop is the most common one and it have a harmful effect on network performance. In this study, we have proposed a novel cognitive agents based security scheme to handle routing loops in wireless networks. The proposed scheme uses Cognitive Agents (CAs) on every routers with Observation-Belief (O-B) model, which detect and handle routing loops efficiently. As a result, network performance improves with respect to various performance metrics like delay, packet loss ratio, bandwidth consumption, throughput, latency, queue length and so on.