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Rank-Based Report Filtering Scheme (RRFS) for Verifying Phoney Reports in Wireless Sensor Networks
Wireless Communications and Mobile Computing ( IF 2.146 ) Pub Date : 2020-09-15 , DOI: 10.1155/2020/2785960
Gayathri Santhosh 1 , Yogesh Palanichamy 1
Affiliation  

Wireless sensor networks (WSNs) are open to false data injection attack when they are deployed in hostile scenarios. Attackers can easily deceive the sink by compromising sensing nodes or by injecting phoney data into the network. Such attacks can deplete the energy resources of the network by providing wrong information which in turn can affect the proper network functioning or sometimes can shut the network from further functioning. The existing schemes that deal with this problem focus on only a few aspects of the false data injection attack. To resolve this problem, we propose a Rank-based Report Filtering Scheme (RRFS), a holistic and group verification scheme for the identification of compromised nodes and the filtering of false data injected into the network. The proposed scheme verifies report among clusters, en-routers, and sink. Hence, the RRFS, a holistic scheme that is composed of three-tier verifications, successfully rejects the false data before the attackers falsify the whole environment, and this makes the system unique. Reliability Index (RI) is calculated by the nodes for fellow cluster members, and the cluster head (CH) provides the score for a node based on its RI. This, in turn, strengthens the scheme by assisting the en-routers to detect the compromised nodes. The RRFS scheme has been verified and validated by extensive simulation and meticulous performance evaluation of filtering efficiency and energy consumption against various schemes. The scheme gives high filtering efficiency against the multiple compromised nodes and also improves the network’s lifespan. The sustainability of RRFS against numerous attacks that are launched in the sensor environment is thoroughly investigated.

中文翻译:

基于等级的报告过滤方案(RRFS),用于验证无线传感器网络中的电话报告

当无线传感器网络(WSN)部署在敌对场景中时,很容易受到虚假数据注入攻击。攻击者可以通过破坏感测节点或将电话数据注入网络来轻易地欺骗接收器。此类攻击可能会通过提供错误的信息来耗尽网络的能源,而错误的信息又会影响网络的正常运行,有时还会使网络无法继续运行。解决该问题的现有方案仅关注错误数据注入攻击的几个方面。为解决此问题,我们提出了一种基于等级的报告过滤方案(RRFS),一种整体的组验证方案,用于识别受感染的节点并过滤注入网络的虚假数据。提出的方案验证了群集,路由器和接收器之间的报告。因此,RRFS是一个由三层验证组成的整体方案,可以在攻击者伪造整个环境之前成功地拒绝虚假数据,这使系统独一无二。可靠性指数(RI)由节点计算出的集群成员,集群头(CH)根据节点的RI为节点提供分数。反过来,这通过协助路由路由器检测受感染的节点来增强方案。RRFS方案已通过广泛的仿真和针对各种方案的过滤效率和能耗的细致性能评估得到了验证和确认。该方案针对多个受损节点提供了很高的过滤效率,并提高了网络的使用寿命。
更新日期:2020-09-15
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