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International Journal of Smart Device and Appliance

Volume 4, No. 1, 2016, pp 1-8
http://dx.doi.org/10.21742/ijsda.2016.4.1.01

Abstract



Spoofing Attack Detection Wireless Networks using Advanced KNN



    Jun Hee Lee1 P. Silpa Chaitanya2T. Sudhir3
    1Conversing Technology, Hoseo Graduate School of Venture, 70, Gasan digital 1-ro, Geumcheon-gu, Seoul, Korea
    2Vignan Nirula Institute of Technology and Science for Women, Guntur
    3VVIT, Nambur, Guntur

    Abstract

    wireless networks. In these networks to identify the attacker node, it will be checked by the cryptographic authentication, everytime authentication is not possible because it needs key management and additional infrastructural overhead. The proposed system focus on 1.) Detecting spoofing attacks, 2.) identifying the no of attackers when conflicts masquerading the same node identity, 3.) localizing multiple conflicts. To detect the spoofing attacks received signal strength (RSS) is used. To determine the no of attackers cluster based mechanisms are introduced. In this paper, K-Nearest-Neighbor classifier (KNN) is proposed to improve the performance of determining the number of attacks.


 

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