@inproceedings{b79e8e9ffd4e4c68821cebc6867f7514,
title = "Safety State Assessment of Network Control System Based on Belief Rule Base",
abstract = "The current network control system (NCS) cannot assess the system safety state in a timely, comprehensive, and accurate manner, which leads to serious security problems in NCS. Directing at the defects of existing security state assessment models for the NCS, a method of safety state assessment of the NCS based on the belief rule base (BRB) expert system is proposed in this paper. Firstly, the expert system of the BRB is used to combine qualitative knowledge with quantitative monitoring data. Then, the evidential reasoning (ER) algorithm is used for knowledge reasoning, and the initial parameters of BRB model are optimized. Finally, taking the data of a gas NCS as an example, the experimental results illustrate that the assessment accuracy is higher than that of back propagation (BP) and support vector machines (SVM) evaluation models.",
keywords = "Belief rule base, ER reasoning, Expert system, Safety state assessment",
author = "Ying Han and Limin Xiao and Jie Luo and Jie Zeng and Xin Su",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Congress on Information and Communication Technology, ICICT 2022 ; Conference date: 21-02-2022 Through 24-02-2022",
year = "2023",
doi = "10.1007/978-981-19-1610-6\_68",
language = "英语",
isbn = "9789811916090",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "773--783",
editor = "Xin-She Yang and Simon Sherratt and Nilanjan Dey and Amit Joshi",
booktitle = "Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022",
address = "德国",
}