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

Alnasser, Aljawharah; Sun, Hongjian

doi:10.1109/access.2017.2740219

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

Alnasser, Aljawharah; Sun, Hongjian

Authors

Aljawharah Alnasser

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

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
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