A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks

Alnasser, Aljawharah; Sun, Hongjian

Abstract

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.

Citation

Alnasser, A., & Sun, H. (2017). A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks. IEEE Access, 5, 17896-17903. https://doi.org/10.1109/access.2017.2740219

• Journal Article Type: Article
• Acceptance Date: Aug 3, 2017
• Online Publication Date: Aug 15, 2017
• Publication Date: Sep 27, 2017
• Deposit Date: Aug 12, 2017
• Publicly Available Date: Aug 22, 2017
• Journal: IEEE Access
• Electronic ISSN: 2169-3536
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 5
• Pages: 17896-17903
• DOI: https://doi.org/10.1109/access.2017.2740219
• Public URL: https://durham-repository.worktribe.com/output/1352565