Multi Zone Base Spoofing Attack Detection and Localization for Wireless Sensor Network Using Novel Hypothesis Testing

Wireless spoofing attack is a combine physical and application level attacker, spoofing attack model first affected node compromised one node MAC address and group of node attack in wireless sensor network. So ireless spoofing attacks are easy to launch and can extensively impact the performance of network. In the new methodology there are three phases of work. First one is, to implement to receive signal strength (RSS) and property associated with the transmission and reception of communication for detecting spoofing. Second one is, group of node request between server to inform all kinds of neighbors details send and update database. In this method simulation applied for K-Means clustering algorithm. Third one is, to implement the new Chronological Probability Fraction Testing applied for multiple zones based wireless sensor networks. In this paper the new testing, statistical framework based on Chronological Probability Fraction Test (CPFT) hypothesis testing for modeling, analyzing, and evaluating statistical source anonymity in wireless sensor networks has been analyzed. The proposed system introduces the notion of number of multiple zone in distinguish ability to model source location privacy. It shows that the current approaches for designing statistically anonymous systems introduce correlated in multiple zones. In addition, a fast and effective mobile replica node detection scheme is proposed using the chronological probability ratio test. The Location results are representing using Enhanced CPFT algorithm that provides strong evidence of high accuracy of localizing multiple adversaries.