FPN-based method for measurement data security risk evaluation

Chun Xiao; Zixun Lu; Jinkai Sun; Liwei Liu; Junfeng Yao; Baining Jiao

doi:10.1117/12.3037596

27 September 2024 FPN-based method for measurement data security risk evaluation

Chun Xiao, Zixun Lu, Jinkai Sun, Liwei Liu, Junfeng Yao, Baining Jiao

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132751V (2024) https://doi.org/10.1117/12.3037596
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

The new power system is characterized by a substantial volume of measurement data and a sophisticated storage and interaction ecosystem. There are major security risks in the process of cross-system data flow. Given the above problems, this paper constructs a safety risk evaluation model and proposes a fuzzy reasoning algorithm based on an improved fuzzy Petri network (FPN) to realize comprehensive risk monitoring on the storage side and circulation link of measurement data. The experimental findings demonstrate that the risk evaluation approach based on FPN gives more accurate and scientific results than the traditional comprehensive risk evaluation method. Therefore, this method is more suitable for practical measurement data security risk evaluation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chun Xiao, Zixun Lu, Jinkai Sun, Liwei Liu, Junfeng Yao, and Baining Jiao "FPN-based method for measurement data security risk evaluation", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132751V (27 September 2024); https://doi.org/10.1117/12.3037596

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