Safety State Assessment of Network Control System Based on Belief Rule Base

Ying Han; Limin Xiao; Jie Luo; Jie Zeng; Xin Su

doi:10.1007/978-981-19-1610-6_68

Safety State Assessment of Network Control System Based on Belief Rule Base

Ying Han^*, Limin Xiao, Jie Luo, Jie Zeng, Xin Su

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	773-783
Number of pages	11
ISBN (Print)	9789811916090
DOIs	https://doi.org/10.1007/978-981-19-1610-6_68
Publication status	Published - 2023
Externally published	Yes
Event	7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online Duration: 21 Feb 2022 → 24 Feb 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	448
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Congress on Information and Communication Technology, ICICT 2022
City	Virtual, Online
Period	21/02/22 → 24/02/22

Keywords

Belief rule base
ER reasoning
Expert system
Safety state assessment

Access to Document

10.1007/978-981-19-1610-6_68

Cite this

Han, Y., Xiao, L., Luo, J., Zeng, J., & Su, X. (2023). Safety State Assessment of Network Control System Based on Belief Rule Base. In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022 (pp. 773-783). (Lecture Notes in Networks and Systems; Vol. 448). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1610-6_68

Han, Ying ; Xiao, Limin ; Luo, Jie et al. / Safety State Assessment of Network Control System Based on Belief Rule Base. Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 773-783 (Lecture Notes in Networks and Systems).

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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 = "English",

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 = "Germany",

}

Han, Y, Xiao, L, Luo, J, Zeng, J & Su, X 2023, Safety State Assessment of Network Control System Based on Belief Rule Base. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Lecture Notes in Networks and Systems, vol. 448, Springer Science and Business Media Deutschland GmbH, pp. 773-783, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22. https://doi.org/10.1007/978-981-19-1610-6_68

Safety State Assessment of Network Control System Based on Belief Rule Base. / Han, Ying; Xiao, Limin; Luo, Jie et al.
Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. p. 773-783 (Lecture Notes in Networks and Systems; Vol. 448).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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DO - 10.1007/978-981-19-1610-6_68

M3 - Conference contribution

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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

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Y2 - 21 February 2022 through 24 February 2022

ER -

Han Y, Xiao L, Luo J, Zeng J, Su X. Safety State Assessment of Network Control System Based on Belief Rule Base. In Yang XS, Sherratt S, Dey N, Joshi A, editors, Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 773-783. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-19-1610-6_68

Safety State Assessment of Network Control System Based on Belief Rule Base

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