A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks
A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks
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DOI：
10.1109/access.2017.2740219
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发表时间：
2017-01-01
期刊：
影响因子：
3.9
通讯作者：
Sun, Hongjian
中科院分区：
文献类型：
--
作者：
Alnasser, Aljawharah;Sun, Hongjian
智能电网需要通信网络来传输传感和控制数据，以提高能源生产、传输和输送的效率。因此，智能网格容易受到各种类型的网络攻击。信任模型被认为是保护大型通信网络免受恶意网络攻击的重要方法之一。本文提出了一种模糊逻辑信任模型来检测智能电网中的不可信节点，并与现有的模型进行了比较，以显示其优势。使用该模型，路由效率和检测率的所有类型的考虑恶意行为可以提高。仿真结果表明，与现有的轻量级可信信任系统模型相比，当恶意节点的比例小于25%时，该模型的丢包率提高了90%。
Smart grids require communication networks to convey sensing and control data for improving the efficiency of energy generation, transmission, and delivery. As a result, smart girds become vulnerable to various types of cyber-attacks. Trust models were recognized as one of the important methods of defending a large communication network against malicious cyber-attacks. In this paper, a fuzzy logic trust model is proposed to detect untrusted nodes in smart grid networks, and compared with an existing model to show its advantages. Using this proposed model, both the routing efficiency and the detection rate for all types of considered malicious behaviors can be improved. In comparison with the existing lightweight and dependable trust system model, the proposed model improves the packet dropping rate by up to 90% when the percentage of malicious nodes is less than 25%, as verified by simulations.