SIA OpenIR  > 工业控制网络与系统研究室
Information Security Risk Assessment Method for Ship Control System Based on Fuzzy Sets and Attack Trees
Shang WL(尚文利)1,2,3,4; Gong TY(巩天宇)1,3,4,5; Chen CY(陈春雨)1,2,3,4; Hou J(侯静)5; Zeng P(曾鹏)1,2,3,4
Department工业控制网络与系统研究室
Source PublicationSECURITY AND COMMUNICATION NETWORKS
ISSN1939-0114
2019
Pages1-11
Indexed BySCI ; EI
EI Accession number20191306714469
WOS IDWOS:000462439100001
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China Research on Anomaly Detection and Security Awareness Method for Industrial Communication Behaviors ; State Grid Corporation Science and Technology Project ; Chinese Academy of Sciences Strategic Pilot Science and Technology Project
AbstractInformation security risk assessment for industrial control system is usually influenced by uncertain factors. For effectively dealing with problem that the uncertainty and quantification difficulties are caused by subjective and objective factors in the assessment process, an information security risk assessment method based on attack tree model with fuzzy set theory and probability risk assessment technology is proposed, which is applied in a risk scenario of ship control system. Firstly, potential risks of the control system are analyzed and the attack tree model is established. Then triangular fuzzy numbers and expert knowledge are used to determine the factors that influence the probability of a leaf node and the leaf nodes are quantified to obtain the interval probability. Finally, the fuzzy arithmetic is used to determine the interval probability of the root node and the attack path. After defuzzification, the potential risks of the system and the probability of occurrence of each attack path are obtained. Compared with other methods, the proposed method can greatly reduce the impact of subjectivity on the risk assessment of industrial control systems and get more stable, reliable, and scientific evaluation results.
Language英语
WOS SubjectComputer Science, Information Systems ; Telecommunications
WOS Research AreaComputer Science ; Telecommunications
Funding ProjectNational Natural Science Foundation of China Research on Anomaly Detection and Security Awareness Method for Industrial Communication Behaviors[61773368] ; State Grid Corporation Science and Technology Project[52110118001H] ; Chinese Academy of Sciences Strategic Pilot Science and Technology Project[XDC02000000]
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24475
Collection工业控制网络与系统研究室
Corresponding AuthorShang WL(尚文利)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
5.Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang 110168, China
Recommended Citation
GB/T 7714
Shang WL,Gong TY,Chen CY,et al. Information Security Risk Assessment Method for Ship Control System Based on Fuzzy Sets and Attack Trees[J]. SECURITY AND COMMUNICATION NETWORKS,2019:1-11.
APA Shang WL,Gong TY,Chen CY,Hou J,&Zeng P.(2019).Information Security Risk Assessment Method for Ship Control System Based on Fuzzy Sets and Attack Trees.SECURITY AND COMMUNICATION NETWORKS,1-11.
MLA Shang WL,et al."Information Security Risk Assessment Method for Ship Control System Based on Fuzzy Sets and Attack Trees".SECURITY AND COMMUNICATION NETWORKS (2019):1-11.
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