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  • 标题:WIRELESS SPOOFING ATTACKS DETECTION AND LOCALIZATION
  • 本地全文:下载
  • 作者:Magesh Kumar K ; Vetripriya M ; Brigetta A
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:0980-0982
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Wireless spoofing attacks area unit simple to launch and might considerably impact the performance of networks. Though the identity of a node may be verified through cryptanalytic authentication, typical security approaches aren't forever fascinating attributable to their overhead necessities. During this system, to use spatial data, a property related to every node, laborious to falsify, and not dependent on cryptography, because the basis for initial police investigation spoofing attacks; second decisive the amount of attackers once multiple adversaries masquerading because the same node identity; and third localizing multiple adversaries. Spoofing attack detection is predicated on the cluster analysis of K-mean algorithmic program and authentication over the waterproof layer. We have a tendency to explore victimisation the Support Vector Machines (SVM) technique to additional improve the accuracy of decisive the amount of attackers. Additionally, we have a tendency to developed associate integrated detection and localization system which will localize the positions of multiple attackers. Thence during this project we have a tendency to propose to use RSS (Received Signal Strength) i.e. the spatial data that is that the property of every node. This property isn't dependent on any cryptanalytic theme.
  • 关键词:Distributed Denial Of Service Attack; Support ; Vector Machines; Wired Equivalent Privacy; Man In The ; Middle Attack; Intrusion Detection System; Detection And ; Prevention.
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