ISSN在线(2320 - 9801)打印(2320 - 9798)
欺骗攻击检测和本地化无线网络中的多个敌人
无线网络在现实世界提供各种优势。这可以帮助企业提高效率,降低成本和效率,提高可伸缩性和改善与业务合作伙伴关系,吸引顾客。在无线通信网络是至关重要的和具有挑战性的问题。无线欺骗攻击是容易发生和降低网络性能。无线欺骗攻击很容易启动和可以显著影响网络的性能。无线网络的灵活性和开放性使敌人轻易伪装成其他设备。传统的检测方法欺骗攻击是使用密码认证。这里利用空间信息,每个节点的物理性质,因此很难伪造,而不是依赖于加密安全,(1)检测欺骗攻击的开始;(2)确定攻击者当多个节点的数量装同一节点的身份,和(3)本地化多个敌人。这里使用一个信号之间的相关性的空间方向和接收信号强度的平均接收信号增益(RSS)继承了从无线节点检测的欺骗攻击。 Then the problem of determining the number of attackers as multiclass detection problem is formulated. Cluster-based mechanisms are developed to determine the number of attackers. When the training data is available, Support Vector Machines (SVM) method is used to further improve the accuracy of determining the number of attackers. The approach can both detects the presence of attacks as well as determine the number of adversaries, spoofing the same node identity, also that can localize any number of attackers and eliminate them.
帕拉维·埃呀尔D。Sontakke, Prof.Dr.C.A.Dhote