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Secure localization of multiple spoofing attackers

机译:安全定位多个欺骗攻击者

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摘要

Spoofing attacks have an easy to release and can significantly impact the performance of the networks. If we want to identify the node can be verified through the cryptographic approaches. The cryptographic authentication, conventional security approaches are not always desirable. Because of their cryptographic security approaches are overhead requirements. In this concepts, have to proposed to using spatial information, an every node associated with the physical property node, hard to falsify, and not reliant on cryptography, as the basis for 1) spoofing attacks are detecting; 2)The number of attackers are determining when multiple hackers are masquerading has the same identity node; and 3) multiple adversaries are localizing. We have to use propose the spatial correlation of received signal strength (RSS). In this RSS is inherited to the spoofing attacks are detect. We then formulate the problem of determining the number of attackers as a multiclass detection problem. To developed a Cluster-based mechanisms, which is used to determine the number of attackers. In addition, terms are developed an integrated by using detection and localization system that can be localize the positions of multiple attackers.
机译:欺骗攻击易于释放,并且会严重影响网络的性能。如果要识别该节点,则可以通过加密方法进行验证。密码认证,常规安全方法并不总是可取的。由于它们的密码安全性,因此需要开销。在这一概念中,必须提出使用空间信息的方法,即与物理属性节点相关联的每个节点,难以伪造且不依赖于密码学,以此作为检测1)欺骗攻击的基础; 2)攻击者的数量确定了多个黑客在伪装时具有相同的身份节点; 3)多个对手正在本地化。我们必须使用提议的接收信号强度(RSS)的空间相关性。在此,RSS继承了对欺骗攻击的检测。然后,我们将确定攻击者数量的问题公式化为多类检测问题。要开发基于集群的机制,该机制用于确定攻击者的数量。另外,通过使用可以定位多个攻击者的位置的检测和定位系统来开发术语集成。

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