Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map
Title | Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Dong, Xiao, Li, Qianmu, Hou, Jun, Zhang, Jing, Liu, Yaozong |
Conference Name | 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService) |
Keywords | attack and defense map, Communication networks, composability, computer network security, Databases, dedicated network, defense strategy, future hydroelectric power generation system, Hazards, Hydroelectric power generation, hydroelectric power stations, industrial control, industrial control network system, industrial control systems, Industrial Control Systems Anomaly Detection, network security problems, Networked Control Systems Security, open network, power engineering computing, power system security, Predictive Metrics, Protocols, pubcrawl, resilience, Resiliency, Scalability, security, security risk control, Servers, smart power grids, water power generation industrial control network |
Abstract | With the latest development of hydroelectric power generation system, the industrial control network system of hydroelectric power generation has undergone the transformation from the dedicated network, using proprietary protocols to an increasingly open network, adopting standard protocols, and increasing integration with hydroelectric power generation system. It generally believed that with the improvement of the smart grid, the future hydroelectric power generation system will rely more on the powerful network system. The general application of standardized communication protocol and intelligent electronic equipment in industrial control network provides a technical guarantee for realizing the intellectualization of hydroelectric power generation system but also brings about the network security problems that cannot be ignored. In order to solve the vulnerability of the system, we analyze and quantitatively evaluate the industrial control network of hydropower generation as a whole, and propose a set of attack and defense strategies. The method of vulnerability assessment with high diversity score proposed by us avoids the indifference of different vulnerability score to the greatest extent. At the same time, we propose an optimal attack and defense decision algorithm, which generates the optimal attack and defense strategy. The work of this paper can distinguish the actual hazards of vulnerable points more effectively. |
DOI | 10.1109/BigDataService.2019.00040 |
Citation Key | dong_security_2019 |
- Networked Control Systems Security
- water power generation industrial control network
- smart power grids
- Servers
- security risk control
- security
- Scalability
- Resiliency
- resilience
- pubcrawl
- Predictive Metrics
- Protocols
- power system security
- power engineering computing
- open network
- network security problems
- attack and defense map
- Industrial Control Systems Anomaly Detection
- Industrial Control Systems
- industrial control network system
- industrial control
- hydroelectric power stations
- Hydroelectric power generation
- Hazards
- future hydroelectric power generation system
- defense strategy
- dedicated network
- Databases
- computer network security
- composability
- Communication networks