Research Of Security Situation Evaluation And Prediction In Power Information Network

Electric power as the basic industry, not only safeguards the people’s daily life butalso provide support for the national economic development. Recent years, with thedevelopment of all kinds of information and communication technology and itswidespread use in power system, they bring certain threat to the safe and stable operationof power system. It needs the deeper analysis and research of the electric power networksecurity.This paper analyzes the electric information network security and clears out thatits main security threat comes from the electric information system and electricinformation network border, so we introduce the evaluation model to the network inorder to early prevent and nip in the bud.In this paper,we introduced the triangular fuzzy number to improve the analytichierarchy process.An index weights determining algorithm based on triangular fuzzynumber is given and it is applied to electric power information system securityevaluation.We establish the safety evaluation index and calculate index weights usthrough fuzzy analytic hierarchy process.which is improved.On the basis of these workwe design a fuzzy comprehensive evaluation algorithm to evaluate the electric powerinformation system.Finally,we choose office automation office system as the examplewhose results show this algorithm can accurately assess the security situation of thesystem to provide basis for electric power information security management.The paper mainly focuses on the assessment and prediction problems of electricpower information security network applying the network security situation assessment.this paper analyzes the electric power network security and deal with the data redundancyof different safety inspection equipment in order to establish power information networksecurity assessment model and quantitate computing security situational values. Thispaper chooses DARPA assessment data as analysis object and calculates the securitysituational values of the entire network. Comparing to the actual situation, we found itcan accurately reflect the status of network operation.On the basis of electric power information network security evaluation, this paperdesigns a kind of selective support vector machine based on his revelation of the particleswarm integration algorithm used in the electric power information network securitysituation prediction. Results show that the prediction error is minor, the algorithm canaccurately predict the network security situation.