Intrusion Detection in Wireless Sensor Networks Using Watchdog Based Clonal Selection Algorithm

Wireless Sensor Networks (WSN) are emerging as a new tier within the IT scheme and a rich domain of active analysis involving hardware and system design, networking, and programming models, data management, security and social actors. Wireless sensor networks are compared with wired networks are additional well vulnerable to attacks and intrusions. The intrusion detection is outlined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or abnormal attackers. The watchdog mechanism is defined to evaluate whether a node has abnormal behavior in method of forwarding data. This paper has a tendency to opt for Bio-Inspired Approach. In this paper, the clonal selection principle is implemented and develop the Watchdog based Clonal Selection Algorithm (WCSA).Using this WCSA, the intrusions in the network and monitoring multiple misbehaved nodes. Using this algorithm we can realize intruders and reduce the detector rate, and reduce generator value also will increase in throughput. Keywords—Wireless Sensor Networks, Watchdog, Cluster, Clonal Selection Algorithm.