DocumentCode :
3353688
Title :
Function-Oriented Information Assets Identification on Substation Automation Systems
Author :
Zhang, Hao ; Zhang, Jianhua ; Liu, Nian ; Wu, Xu
Author_Institution :
Electr. & Electron. Eng. Sch., North China Electr. Power Univ., Beijing
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
4
Abstract :
Information security risk assessment combined with power control process is an issue which has not properly solved yet. As substation automation system (SAS) functions as the key link of between implementation of control instructions and the collection of operation information, research on the application of information assets identification method in SAS under network environment, is an important part of improving information security risk assessment system in power system. Consisting of the features of SAS, the paper presents a function- oriented information assets identification method with following procedures: Establishing function tree model to identify assets and defining key level as a parameter to measure the importance of assets, utilizing association factor to measure the association between assets and quantitatively analyzing the degree of association by building association matrix. The paper also presents assets quantification method on system level, according to the impact of different functions on the electric power primary system. At last, the paper constructs an evaluating example with IEC 61850 standard, and verifies the effectiveness of assets identification method.
Keywords :
matrix algebra; power engineering computing; substation automation; IEC 61850 standard; association matrix; electric power primary system; function-oriented information assets identification; information security risk assessment; power control process; substation automation systems; Automatic control; Control systems; IEC standards; Information security; Power control; Power system measurements; Power system modeling; Risk management; Substation automation; Synthetic aperture sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918391
Filename :
4918391
Link To Document :
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