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Trust Evaluation Model against Insider Attack in Wireless Sensor Networks

机译:无线传感器网络中内幕攻击的信任评估模型

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摘要

Insider attack is one of the key attacks in wireless sensor networks(WSNs). Despite its destructive force to network functions is huge, insider attackers are difficult to be detected only by the traditional techniques. Meanwhile, existing secure routing schemes are also vulnerable to insider attack and low energy-efficient due to their deterministic nature. Once a normal node is compromised or captured, the adversary can endanger all information transmitting through this node. In this paper, we propose a novel trust evaluation model to enhance the data security in WSNs. Under our design, each node computes the trust value of its 1-hop neighbors based on their multiple behavior evaluation with no requirement on a prior knowledge about normal/compromised sensor activities and build a trust management. Moreover, our scheme is application friendly, which can be employed to monitor many aspects of sensor networking behaviors and build the secure routing. In our secure routing, besides security, high energy-efficiency is also considered. Simulation results indicate that data shares can bypass most compromised nodes in the transmission path.
机译:内幕攻击是无线传感器网络(WSNS)中的关键攻击之一。尽管其对网络功能有巨大的破坏力,但仍然难以通过传统技术来检测内幕攻击者。同时,由于其确定性,现有的安全路由方案也容易受到内幕攻击和低节能。一旦普通节点受到损害或捕获,对手可以危及通过该节点传输的所有信息。在本文中,我们提出了一种新的信任评估模型,可以增强WSN中的数据安全性。在我们的设计下,每个节点根据其多种行为评估计算其1跳邻居的信任值,而无需对正常/受损传感器活动的先验知识无需要求并构建信任管理。此外,我们的计划是应用友好的,可以用于监视传感器网络行为的许多方面并构建安全路由。在我们的安全路由中,除了安全性,还考虑了高能量效率。仿真结果表明,数据共享可以在传输路径中绕过最大受损的节点。

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