| Title | Modeling of Security Risk for Industrial Cyber-Physics System under Cyber-Attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Sun, Ziwen, Zhang, Shuguo |
| Conference Name | 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) |
| Keywords | adaptive control, adaptive filtering, Analytical models, attack resource, attack scenario, Conferences, cyber-attacks, Cyber-physical systems, industrial cyber-physical system, Kalman filters, Mathematical model, Metrics, pubcrawl, resilience, Resiliency, Scalability, security, security risk level model |
| Abstract | Due to the insufficient awareness of decision makers on the security risks of industrial cyber-physical systems(ICPS) under cyber-attacks, it is difficult to take effective defensive measures according to the characteristics of different cyber-attacks in advance. To solve the above problem, this paper gives a qualitative analysis method of ICPS security risk from the perspective of defenders. The ICPS being attacked is modeled as a dynamic closed-loop fusion model where the mathematical models of the physical plant and the feedback controller are established. Based on the fusion model, the disruption resources generated by attacks are mathematically described. Based on the designed Kalman filter, the detection of attacks is judged according to the residual value of the system. According to the disruption resources and detectability, a general security risk level model is further established to evaluate the security risk level of the system under attacks. The simulation experiments are conducted by using Matlab to analyze the destructiveness and detectability of attacks, where the results show that the proposed qualitative analysis method can effectively describe the security risk under the cyber-attacks. |
| DOI | 10.1109/ICPS49255.2021.9468202 |
| Citation Key | sun_modeling_2021 |
Modeling of Security Risk for Industrial Cyber-Physics System under Cyber-Attacks