alexa Abstract | Detection of Spoofing Attack and Localization of Multiple Adversaries in WSN
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article Open Access

Abstract

Spoofing attack which easily attack the network and reduce the performance of the network. In this Paper, Spoofing attacks are detected, Finding the number of attackers that masquerade the node identity, Localizing all the attackers node and calculate the speed of a node, by using RSS (received signal strength) for spoofing detection. The number of attacker is determined by cluster- based method. Support Vector Machines (SVM) is to improve the accuracy of finding number of attackers. Evaluate our method in two real office, an 802.11 (WiFi) network and an 802.15.4 (ZigBee) network. Our method gives over 90 percent of Hit Rate.

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Author(s): R. Panchabi kesavan, S.A. Ramesh kumar,

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