Fuzzy integrated Bayesian Dempster-Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid
Fuzzy integrated Bayesian Dempster-Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid
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DOI：
10.1016/j.ins.2018.07.051
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发表时间：
2019-04
期刊：
影响因子：
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通讯作者：
Durgadevi Velusamy;P. Ganeshkumar
中科院分区：
文献类型：
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作者：
Durgadevi Velusamy;P. Ganeshkumar
跨层异构性是设计智能电网安全通信网络的关键问题，因为它在数据包传输过程中表现出高度的不确定性。在本文中，贝叶斯理论相结合的Dempster-Shafer理论（BDST）处理的物理层（节点的传输速率）和媒体访问控制（MAC）层（节点的缓冲能力）的指标，计算在节点级的数据包交付的信任。此外，模糊理论与BDST集成处理MAC层（链路容量）和网络层（距离和链路质量）度量，用于计算安全路由的链路级信任。使用网络模拟器2（NS 2）创建实验设置，以演示如何跨层指标处理所提出的基于模糊的贝叶斯Dempster-Shafer可信路由（BDSFTR）。进行了大量的实验，包括恶意和故障节点，突出的性能，提出的BDSFTR在识别的开-关，数据包丢失，和恶意攻击。仿真结果表明，该模型为智能电网通信网络提供了一个可靠、安全的基于信任的路由框架。
Cross-layer heterogeneity is a critical issue in designing a secured communication network for a Smart Grid, as it shows a high degree of uncertainty during packet transmission. In this paper, the Bayesian theory is combined with Dempster–Shafer theory (BDST) to handle physical layer (transmission rate of the node) and medium access control (MAC) layer (buffering capacity of the node) metrics to calculate trust at node level for packet delivery. Further, the fuzzy theory is integrated with BDST to handle MAC layer (Capacity of the link) and Network layer (Distance and Link Quality) metrics for calculating trust at link level for secured routing. Experimental setup is created using Network Simulator 2 (NS2) to demonstrate how the cross-layer metrics are handled by the proposed fuzzy-based Bayesian Dempster–Shafer trusted routing (BDSFTR). Extensive experiments are conducted with the inclusion of malicious and faulty nodes to highlight the performances of the proposed BDSFTR in the identification of the on-off, packet dropping, and bad-mouthing attacks. From the simulation results, it is clear that the proposed model provides a reliable and secured trust-based routing framework for the communication network of smart grid.