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An active detection of compromised nodes based on en-route trap in wireless sensor network
International Journal of Distributed Sensor Networks ( IF 2.3 ) Pub Date : 2021-08-23 , DOI: 10.1177/15501477211040367
Jiang-Tao Wang 1 , Zhi-Xiong Liu 1
Affiliation  

With the development and wide use of wireless sensor network, security arises as an essential issue since sensors with restrict resources are deployed in wild areas in an unattended manner. Most of current en-route filtering schemes could filter false data effectively; however, the compromised nodes could take use of the filtering scheme to launch Fictitious False data Dropping attack, the detection of this attack is extremely difficult since the previous hop node is unable to distinguish whether the forwarding node dropt a false data report with incorrect Message Authentication Codes or a legitimate report. This is the first attempt to address the Fictitious False data Dropping attack; in this article, we propose an Active Detection of compromised nodes based on En-route Trap to trap compromised nodes in the scenario of a false data dropping. A trust model is used to evaluate trust level of neighbor nodes with respect to their authentication behaviors. A detecting algorithm of compromised node is used to detect compromised nodes. Simulation results showed that our scheme can address the Fictitious False data Dropping attack and detect 60% of compromised nodes with a low false positive rate; consequently, the packet accuracy of an Active Detection of compromised nodes based on En-route Trap increases rapidly and reaches to 86%.



中文翻译:

基于路由陷阱的无线传感器网络受害节点主动检测

随着无线传感器网络的发展和广泛应用,由于资源受限的传感器以无人值守的方式部署在野外,安全性成为一个必不可少的问题。目前的航路过滤方案大都可以有效过滤虚假数据;然而,受害节点可以利用过滤方案发起虚假虚假数据丢弃攻击,这种攻击的检测极其困难,因为前一跳节点无法区分转发节点是否丢弃了消息认证不正确的虚假数据报告代码或合法报告。这是解决虚构虚假数据丢弃攻击的第一次尝试;在本文中,我们提出了一种基于 En-route Trap 的受害节点主动检测,以在虚假数据丢失的情况下捕获受害节点。信任模型用于评估邻居节点对其身份验证行为的信任级别。受感染节点检测算法用于检测受感染节点。仿真结果表明,我们的方案可以解决虚构虚假数据丢弃攻击,并以较低的误报率检测到 60% 的受感染节点;因此,基于 En-route Trap 的受害节点主动检测的数据包准确率迅速提高,达到 86%。

更新日期:2021-08-24
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