Priority Dissection Supervision for Intrusion Detection in Wireless Sensor Networks

Wireless sensor networks are prone to failure as a simple attack can lead to damage the entire setup. Ad hoc nature, limited energy, and limited network lifetime are the major reasons that expose WSN's to many security attacks. Intrusion detection is the most important method to intercept all these attacks. In this paper, we propose a new method called Priority Dissection Supervision (PDS) for intrusion detection in WSN. The proposed PDS uses fuzzy logic for prioritizing the impact of distributed intrusion over line of control (LOC). Proposed PDS is a coherent system which models the key elements sensor deployment, intrusion detection, tracking, and priority list. PDS makes use of weight and impact factors which detects the influence field of different types of intruders and accordingly calculates the amount of deterioration. By the use of PDS system the operational and deployment cost can be decreased significantly. Simulation results on MATLAB exhibit the potency and precision of the proposed PDS.