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Fuzzy-based trusted routing to mitigate packet dropping attack between data aggregation points in smart grid communication network

机译:基于模糊的可信路由可缓解智能电网通信网络中数据聚合点之间的丢包攻击

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Providing adequate security measure during data transmission is one of the essential requirements of smart grid communication network (SGCN). In this paper, a novel trust management model is proposed to alleviate packet dropping attack between data aggregation points of SGCN. The concept of probability theory is used to calculate trust of every node in the network before transmitting the packet. Trust evaluation is conducted in four stages viz., Direct, Indirect, Integrated and Overall trust and in each stage, suitable equations are suggested to measure the trust of each node. A novel technique based on fuzzy set theory is used to route the packet through the trusted channel. Hop count, reliability and capacity of the link are the parameters considered for constructing if-then rules and membership function. A qualitative reasoning is performed using inference mechanism and a defuzzication strategy is applied on the calculated trust value to make decision. Simulations are carried out to evaluate the performance of the proposed approach by varying the trust threshold and malicious nodes. From the experiments, it is observed that for all the metrics, the proposed trusted routing using fuzzy theory helps to improve the network performance with much reliable communication and reduced packet loss.
机译:在数据传输期间提供适当的安全措施是智能电网通信网络(SGCN)的基本要求之一。本文提出了一种新的信任管理模型,以减轻SGCN数据聚合点之间的丢包攻击。概率论的概念用于在传输数据包之前计算网络中每个节点的信任度。信任评估分为四个阶段,即直接,间接,集成和总体信任,并且在每个阶段中,建议使用适当的方程式来测量每个节点的信任。一种基于模糊集理论的新颖技术被用于通过可信通道路由数据包。跳数,链接的可靠性和容量是用于构造if-then规则和隶属函数的参数。使用推理机制进行定性推理,并对计算出的信任值应用去模糊策略以做出决策。通过更改信任阈值和恶意节点,进行了仿真以评估所提出方法的性能。从实验中可以观察到,对于所有指标,使用模糊理论提出的可信路由有助于通过可靠的通信和减少的数据包丢失来提高网络性能。

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