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A fuzzy logic trust model for secure routing in smart grid networks.

Alnasser, Aljawharah and Sun, Hongjian (2017) 'A fuzzy logic trust model for secure routing in smart grid networks.', IEEE access., 5 . pp. 17896-17903.


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 (LDTS) 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.

Item Type:Article
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Date accepted:03 August 2017
Date deposited:22 August 2017
Date of first online publication:15 August 2017
Date first made open access:22 August 2017

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