Cross Layer Security Protocol Using Swarm Intelligence

Security and privacy plays a vital role in wireless applications such as health monitoring, military and biometric identification systems. Due to the limited resource constraints in wireless sensor network, security in protocols is sacrificed or kept minimal. In this paper, a cross layer protocol is designed to detect denial of service attack imposed on the network by malicious nodes. The Denial of Service attack on sensor networks not only diminishes the network performance but also affects the reliability of the information. Swarm intelligence, an evolutionary algorithm is used in predicting the traffic patterns and detecting malicious nodes. This novel approach helps in keeping the network functional and self sustaining by re-routing the information. The sybil, worm-hole and jamming attacks are overcome using this protocol design with minimal resource exploitation. The performance of the network is evaluated based on the successful packet delivery, energy consumption and average percentage of threat detection.