Research On Information System Security Situation Assessment Model Based On Fuzzy Petri Nets

With the rapid development of information technology,information systems have been widely used in all aspects of society.As an important part of information construction,the security hidden danger and risk of the information system are gradually increasing.To evaluate the information system security status and find the abnormality in time,the security situation assessment is an essential measure to ensure system security.Therefore,this paper studies the information system security situation assessment model.Firstly,the current research status of security situation assessment methods is summarized.And the security situation assessment model is analyzed.The basic theories and methods are analyzed,which lays the foundation for the subsequent establishment of information system security situation assessment models.Secondly,a Pythagorean fuzzy Petri net(PFPN)based security assessment model is proposed.By constructing a multi-dimensional assessment index system,the standardization method of qualitative and quantitative indexes is designed.The Pythagorean fuzzy set and fuzzy Petri net are combined to construct a PFPN model.The quantitative value of information system security situation assessment is obtained by using the place credibility inference algorithm and security situation fuzzy inference algorithm.The validity of the model is verified by experiments.The comparative experiments show that the PFPN model is more stable than the AHP method and the entropy weight coefficient method,and the iteration numbers are less than the modified interval matrix-entropy weight-based cloud method.Finally,the PFPN model is improved,and a q-rung orthopair fuzzy Petri net(q-ROFPN)based security assessment model is proposed.The method of expert rating is extended and q-rung orthopair fuzzy number is used to represent the score.Then a rung q reasoning algorithm is designed to obtain the fuzzy set rung,and the q-rung orthopair fuzzy set power average algorithm is used to aggregate expert evaluation results.The security situation is quantified and rated according to the fuzzy reasoning algorithm.Experiments show that the q-ROFPN model has good reliability and stability.