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首页> 外文期刊>Information Sciences: An International Journal >Fuzzy integrated Bayesian Dempster-Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid
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Fuzzy integrated Bayesian Dempster-Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid

机译：模糊综合贝叶斯Deppster-Shafer理论在智能电网通信网络中捍卫跨层异质性攻击

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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. (C) 2018 Elsevier Inc. All rights reserved.
机译：跨层异质性是设计用于智能电网的安全通信网络的关键问题，因为它在分组传输期间显示出高度的不确定性。在本文中，贝叶斯理论与Dempster-Shafer理论（BDST）相结合，处理了物理层（节点的传输速率）和媒体访问控制（MAC）层（节点的缓冲容量）度量来计算节点级别的信任用于数据包交付。此外，模糊理论与BDST集成，以处理MAC层（链路的容量）和网络层（距离和链路质量）度量，用于计算链路级别的信任以进行安全路由。使用网络模拟器2（NS2）创建实验设置，以演示如何由所提出的模糊基于基于贝叶斯Dempster-Shafer可信路由（BDSFTR）处理的跨层度量。通过包含恶意和故障节点进行广泛的实验，以突出所提出的BDSFTR的性能在识别开关，包丢失和口交攻击中。从仿真结果来看，显然该模型为智能电网的通信网络提供了一种可靠和基于信任的路由框架。 （c）2018年Elsevier Inc.保留所有权利。

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