Title :
Electric power information system security risk assessment based on fuzzy rating multilevel analysis
Author_Institution :
Dept. of Sci. & Technol. Inf. Commun., State Grid Chongqing Electr. Power Co. Electr. Power, Chongqing, China
Abstract :
Based on large-scale information system, the system model of active defense system, the information system risk identification and analysis of the deficiencies and shortcomings, this paper describes a multi-level analysis based on fuzzy evaluation model of the risk. By analyzing the characteristics of the information system to analysis the risk and risk factor in the information system, this paper adopts the Multi-level analysis technology and fuzzy evaluation method to establish the risk assessment of risk and calculation model.
Keywords :
fuzzy set theory; information systems; power engineering computing; risk analysis; security of data; active defense system; electric power information system; fuzzy evaluation method; fuzzy evaluation model; fuzzy rating multilevel analysis; information system risk identification; large scale information system; multilevel analysis technology; security risk assessment; system model; Analytical models; Information security; Power systems; Probability; Risk management; fuzzy evaluation; large-scale information systems; multi-level analysis technology; risk assessment;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743391
