The risk situation assessment and forecast technique of network security is a basic method of active defense techniques. In order to assess the risk of network security two methods were used to define the index of ris...The risk situation assessment and forecast technique of network security is a basic method of active defense techniques. In order to assess the risk of network security two methods were used to define the index of risk and forecast index in time series, they were analytical hierarchy process （AHP） and support vector regression （SVR）. The module framework applied the methods above was also discussed. Experiment results showed the forecast values were so close to actual values and so it proved the approach is correct.展开更多
This paper presents a decision-making support system for situation risk assessment associated with critical alarms conditions in a gas facility.The system provides a human operator with advice on the confirmation and ...This paper presents a decision-making support system for situation risk assessment associated with critical alarms conditions in a gas facility.The system provides a human operator with advice on the confirmation and classification of occurred alarm.The input of the system comprises uncertain and incomplete information.In the light of uncertain and incomplete information,different uncertainties laws have been associated with the probabilistic assessment of the system loops which combine data of several sources to reach the ultimate classification.The implemented model used Observe-OrientDecide-Act loop(OODA)combined with Bayesian networks.Results show that the system can classify the alarms system.展开更多
基金Supported bythe Basic Research of Commission ofScience , Technology and Industry for National Defense (03058720)
文摘The risk situation assessment and forecast technique of network security is a basic method of active defense techniques. In order to assess the risk of network security two methods were used to define the index of risk and forecast index in time series, they were analytical hierarchy process （AHP） and support vector regression （SVR）. The module framework applied the methods above was also discussed. Experiment results showed the forecast values were so close to actual values and so it proved the approach is correct.
基金by Ministry of Higher Education and Scientific Research,Algeria(A01L04UN050220200001).
文摘This paper presents a decision-making support system for situation risk assessment associated with critical alarms conditions in a gas facility.The system provides a human operator with advice on the confirmation and classification of occurred alarm.The input of the system comprises uncertain and incomplete information.In the light of uncertain and incomplete information,different uncertainties laws have been associated with the probabilistic assessment of the system loops which combine data of several sources to reach the ultimate classification.The implemented model used Observe-OrientDecide-Act loop(OODA)combined with Bayesian networks.Results show that the system can classify the alarms system.
