TY - GEN
T1 - Safety State Assessment of Network Control System Based on Belief Rule Base
AU - Han, Ying
AU - Xiao, Limin
AU - Luo, Jie
AU - Zeng, Jie
AU - Su, Xin
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Belief rule base
KW - ER reasoning
KW - Expert system
KW - Safety state assessment
UR - http://www.scopus.com/inward/record.url?scp=85135942084&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1610-6_68
DO - 10.1007/978-981-19-1610-6_68
M3 - Conference contribution
AN - SCOPUS:85135942084
SN - 9789811916090
T3 - Lecture Notes in Networks and Systems
SP - 773
EP - 783
BT - Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022
A2 - Yang, Xin-She
A2 - Sherratt, Simon
A2 - Dey, Nilanjan
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Congress on Information and Communication Technology, ICICT 2022
Y2 - 21 February 2022 through 24 February 2022
ER -