| Title | Industrial Control Network Security Analysis and Decision-Making by Reasoning Method Based on Strong Relevant Logic |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Gao, Hongbiao, Li, Jianbin, Cheng, Jingde |
| Conference Name | 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) |
| Date Published | aug |
| Keywords | Autonomic Security, Cognition, Communication networks, composability, computer network security, computer security, decision making, decision-making, formal logic, forward reasoning, industrial control, Industrial control network, industrial control network security analysis, industrial control network system, inference mechanisms, Production, pubcrawl, reasoning method, Resiliency, security analysis, strong relevant logic |
| Abstract | To improve production efficiency, more industrial control systems are connected to IT networks, and more IT technologies are applied to industrial control networks, network security has become an important problem. Industrial control network security analysis and decision-making is a effective method to solve the problem, which can predict risks and support to make decisions before the actual fault of the industrial control network system has not occurred. This paper proposes a security analysis and decision-making method with forward reasoning based on strong relevant logic for industrial control networks. The paper presents a case study in security analysis and decision-making for industrial control networks. The result of the case study shows that the proposed method is effective. |
| DOI | 10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00060 |
| Citation Key | gao_industrial_2019 |
Industrial Control Network Security Analysis and Decision-Making by Reasoning Method Based on Strong Relevant Logic