期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：11
页码：4030-4034
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Wireless networks are susceptible or vulnerable to identity based attack such as spoofing attacks which are easy to launch. Conventional cryptographic schemes to authenticate the communicator and detect any adversaries requires huge infrastructure and computational overhead. This paper describes survey on detection and localalization of multiple spoofing attackers in wireless networks. We have spatial information a physical property of a node which have its no dependence on cryptography and also hard to falsify for 1)determining spoofing attack. 2)determining the number of attackers when multiple adversaries masqueariding as the same node identity 3)localizing multiple adversaries.RSS(received signal strength) is used to determine spatial correlation and cluster based mechanisms are used to determine number of attackers. We can further improve the performance of determining the number of spoofing attackers using the Support Vector Machines (SVM) method to accurately predict the number of attackers. In addition, we developed an integrated detection and localization system that can localize the positions of multiple attackers. Two test beds like 802.11 (WiFi) network and an 802.15.4 (ZigBee) network are be used to evaluate our techniques.
