NODE RELIABILITY AND AUTHENTICATION TO IMPROVE NETWORK PERFORMANCE FOR WIRELESS SENSOR NETWORK USING RECEIVED SIGNAL STRENGTH (RSS)

Wireless attacks are generally easy to launch and can significantly impact the performance of Wireless Sensor Networks (WSN). Although the identity of a node can be verified through cryptographic authentication, conventional security approaches are not always desirable because of their overhead requirements. We propose to use spatial information, a physical property associated with each node, hard to falsify. To use the spatial correlation of Received Signal Strength (RSS) in the form of energy inherited from wireless nodes to detect the attacks. We formulate the problem of determining the number of attackers as a multiclass detection problem. Cluster-based mechanisms are developed to determine the number of attackers. We evaluated our techniques through real time network for active and asleep node by putting spoof attack. Our experimental results show that our proposed methods can achieve over 90 % Hit Rate and Precision when determining the number of attackers. Our localization result using a representative set of algorithm provides strong evidence of high accuracy of localizing multiple adversaries and plots the energy graph for the node in the network