| Title | Security Decision Support in the Control Systems based on Graph Models |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Doynikova, Elena V., Fedorchenko, Andrei V., Novikova, Evgenia S., U shakov, Igor A., Krasov, Andrey V. |
| Conference Name | 2021 IV International Conference on Control in Technical Systems (CTS) |
| Keywords | Complexity theory, Control, control systems, control theory, countermeasure model, countermeasures, decision making, decision support, Forecasting, graph, Human Behavior, human factors, Information security, pubcrawl, Resiliency, response against violations, Scalability, security, technical systems |
| Abstract | An effective response against information security violations in the technical systems remains relevant challenge nowadays, when their number, complexity, and the level of possible losses are growing. The violation can be caused by the set of the intruder's consistent actions. In the area of countermeasure selection for a proactive and reactive response against security violations, there are a large number of techniques. The techniques based on graph models seem to be promising. These models allow representing the set of actions caused the violation. Their advantages include the ability to forecast violations for timely decision-making on the countermeasures, as well as the ability to analyze and consider the coverage of countermeasures in terms of steps caused the violation. The paper proposes and describes a decision support method for responding against information security violations in the technical systems based on the graph models, as well as the developed models, including the countermeasure model and the graph representing the set of actions caused the information security violation. |
| DOI | 10.1109/CTS53513.2021.9562793 |
| Citation Key | doynikova_security_2021 |
Security Decision Support in the Control Systems based on Graph Models