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A Cross-Layer Trust Evaluation protocol for secured routing in Communication Network of Smart Grid
IEEE Journal on Selected Areas in Communications ( IF 16.4 ) Pub Date : 2020-01-01 , DOI: 10.1109/jsac.2019.2952035
Durgadevi Velusamy , Ganeshkumar Pugalendhi , Karthikeyan Ramasamy

Cybersecurity is one of the major issues to be considered while designing a communication network for Smart Grid (SGCN). However, due to the openness and unpredictable nature of the wireless network, it is often prone to different adversarial attacks that exploit vulnerabilities to launch cross-layer attacks during data transmission. To address this issue, we proposed a novel trust-based routing framework with Bayesian Inference to calculate direct trust and Dempster-Shafer (D-S) theory is used to compute the indirect trust by combining the evidence collected from reliable neighbours. The analytical hierarchy process (AHP) calculates the node’s creditability trust by taking cross-layer metrics like transmission rate, buffering capacity and received signal strength. Further, the fuzzy theory is combined with BDS-AHP to incorporate fairness in utilizing cross-layer metrics for calculating the link trust to enable reliable routing. Extensive experiments are carried to evaluate the performance of the proposed fuzzy-based trusted routing algorithm (FBDS-AHP) with the presence of malicious nodes launching packet-dropping, bad-mouthing, on-off and Sybil attacks. Simulation result proves that the proposed trust evaluation algorithm achieves promising results in defending against these attacks thereby providing improved reliability and ensures secured routing in SGCN.

中文翻译:

智能电网通信网络中安全路由的跨层信任评估协议

网络安全是设计智能电网 (SGCN) 通信网络时要考虑的主要问题之一。然而,由于无线网络的开放性和不可预测性,在数据传输过程中往往容易出现不同的对抗性攻击,利用漏洞发动跨层攻击。为了解决这个问题,我们提出了一种新的基于信任的路由框架,使用贝叶斯推理来计算直接信任,并使用 Dempster-Shafer (DS) 理论通过结合从可靠邻居收集的证据来计算间接信任。层次分析法(AHP)通过采用传输速率、缓冲容量和接收信号强度等跨层指标来计算节点的可信度。更多,模糊理论与 BDS-AHP 相结合,在利用跨层度量计算链路信任时纳入公平性,以实现可靠路由。进行了大量实验以评估所提出的基于模糊的可信路由算法(FBDS-AHP)的性能,其中存在发起丢包、恶意攻击、开-关和女巫攻击的恶意节点。仿真结果证明,所提出的信任评估算法在防御这些攻击方面取得了可喜的结果,从而提高了可靠性并确保了 SGCN 中的安全路由。进行了大量实验以评估所提出的基于模糊的可信路由算法(FBDS-AHP)的性能,其中存在发起丢包、恶意攻击、开-关和女巫攻击的恶意节点。仿真结果证明,所提出的信任评估算法在防御这些攻击方面取得了可喜的结果,从而提高了可靠性并确保了 SGCN 中的安全路由。进行了大量实验以评估所提出的基于模糊的可信路由算法(FBDS-AHP)的性能,其中存在发起丢包、恶意攻击、开-关和女巫攻击的恶意节点。仿真结果证明,所提出的信任评估算法在防御这些攻击方面取得了可喜的结果,从而提高了可靠性并确保了 SGCN 中的安全路由。
更新日期:2020-01-01
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