Spoofing Attacks Detection and Localizing Multiple Adversaries in Wireless Networks

Abstract

In wireless networks, Spoofing attacks are easy to launch but it degrades the performance of the networks. To identity an attacker node, it can be verified through cryptographic authentication, authentication is always not possible because it requires key management and additional infrastructural overhead. The proposed approach is used for 1) Detecting spoofing attacks 2) Determining the number of attackers when multiple adversaries masquerading the same node identity and 3) Localizing multiple adversaries. The proposed system uses spatial correlation of received signal strength (RSS) to detect the spoofing attacks. Cluster-based mechanisms are introduced to determine the number of attackers. In this paper, K-Nearest-Neighbor classifier (KNN) is proposed to improve the performance of determining the number of attacks. Finally, An Integrated Detection and Localization system is used to localize the positions of multiple attackers. KEYWORDS: