DocumentCode :
1783852
Title :
Cyber Security Risk Assessment of Communication Network of Substation Based on Improved Grey Clustering
Author :
Haihui Gao ; Zhonghua Dai ; Yong Peng ; Huikang Lu
Author_Institution :
CNITSEC, Beijing, China
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
524
Lastpage :
527
Abstract :
This paper introduces the gray clustering theory as a method to conduct an information security risk assessment for power substation communication systems using the gray theory with combination of AHP and Delphi method, and improves the substation communication system information security risk assessment model based on the gray clustering theory. Analysis albino gray clustering by constructing weight function and determine the level of risk quantification membership functions and clustering targets. Use examples to prove that this model can effectively evaluate the risks substation communication system, and provide theoretical guidance for both risk management and the establishment of security protection system.
Keywords :
analytic hierarchy process; forecasting theory; grey systems; pattern clustering; power engineering computing; power system security; risk analysis; security of data; substations; AHP; Delphi method; clustering targets; cyber security risk assessment; gray clustering theory; gray theory; information security risk assessment; power substation communication systems; risk management; risk quantification membership functions; security protection system; weight function; Communication systems; Equations; Information security; Mathematical model; Risk management; Substations; Grey Clustering; communications network; risk assessment; substation; whiten function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.136
Filename :
6998382
Link To Document :
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