Title
Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map
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.
Year
DOI
Venue
2019
10.1109/BigDataService.2019.00040
2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService)
Keywords
Field
DocType
Security risk control,defense strategy,attack and defense map
Data mining,Smart grid,Proprietary protocol,Computer science,Vulnerability assessment,Network security,Risk analysis (engineering),Intellectualization,Hydroelectricity,Electricity generation,Communications protocol
Conference
ISBN
Citations 
PageRank 
978-1-7281-0060-9
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Dong Xiao122.07
Li Qian-Mu23314.78
Jun Hou344.14
Jing Zhang4225.41
Yaozong Liu501.69