Network Security Situation Awareness System YHSAS acquires,understands and displays the security factors which cause changes of network situation,and predicts the future development trend of these security factors.YHS...Network Security Situation Awareness System YHSAS acquires,understands and displays the security factors which cause changes of network situation,and predicts the future development trend of these security factors.YHSAS is developed for national backbone network,large network operators,large enterprises and other large-scale network.This paper describes its architecture and key technologies:Network Security Oriented Total Factor Information Collection and High-Dimensional Vector Space Analysis,Knowledge Representation and Management of Super Large-Scale Network Security,Multi-Level,Multi-Granularity and Multi-Dimensional Network Security Index Construction Method,Multi-Mode and Multi-Granularity Network Security Situation Prediction Technology,and so on.The performance tests show that YHSAS has high real-time performance and accuracy in security situation analysis and trend prediction.The system meets the demands of analysis and prediction for large-scale network security situation.展开更多
The real-time of network security situation awareness(NSSA)is always affected by the state explosion problem.To solve this problem,a new NSSA method based on layered attack graph(LAG)is proposed.Firstly,network is div...The real-time of network security situation awareness(NSSA)is always affected by the state explosion problem.To solve this problem,a new NSSA method based on layered attack graph(LAG)is proposed.Firstly,network is divided into several logical subnets by community discovery algorithm.The logical subnets and connections between them constitute the logical network.Then,based on the original and logical networks,the selection of attack path is optimized according to the monotonic principle of attack behavior.The proposed method can sharply reduce the attack path scale and hence tackle the state explosion problem in NSSA.The experiments results show that the generation of attack paths by this method consumes 0.029 s while the counterparts by other methods are more than 56 s.Meanwhile,this method can give the same security strategy with other methods.展开更多
The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the in...The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the information of incident frequency, incident time and incident space. The HoneyNet dataset is selected to evaluate the proposed model in the evaluation. The paper proposes three definitions to depict and predigest the whole situation extraction in detail, and a fusion component to reduce the influence of alert redundancy on the total security situation. The less complex extraction makes the situation analysis more efficient, and the fine-grained model makes the analysis have a better expansibility. Finally, the situational variation curves are simulated, and the evaluation results prove the situation model applicable and efficient.展开更多
基金This work is funded by the National Natural Science Foundation of China under Grant U1636215the National key research and development plan under Grant Nos.2018YFB0803504,2016YFB0800303.
文摘Network Security Situation Awareness System YHSAS acquires,understands and displays the security factors which cause changes of network situation,and predicts the future development trend of these security factors.YHSAS is developed for national backbone network,large network operators,large enterprises and other large-scale network.This paper describes its architecture and key technologies:Network Security Oriented Total Factor Information Collection and High-Dimensional Vector Space Analysis,Knowledge Representation and Management of Super Large-Scale Network Security,Multi-Level,Multi-Granularity and Multi-Dimensional Network Security Index Construction Method,Multi-Mode and Multi-Granularity Network Security Situation Prediction Technology,and so on.The performance tests show that YHSAS has high real-time performance and accuracy in security situation analysis and trend prediction.The system meets the demands of analysis and prediction for large-scale network security situation.
基金National Natural Science Foundation of China(No.61772478)
文摘The real-time of network security situation awareness(NSSA)is always affected by the state explosion problem.To solve this problem,a new NSSA method based on layered attack graph(LAG)is proposed.Firstly,network is divided into several logical subnets by community discovery algorithm.The logical subnets and connections between them constitute the logical network.Then,based on the original and logical networks,the selection of attack path is optimized according to the monotonic principle of attack behavior.The proposed method can sharply reduce the attack path scale and hence tackle the state explosion problem in NSSA.The experiments results show that the generation of attack paths by this method consumes 0.029 s while the counterparts by other methods are more than 56 s.Meanwhile,this method can give the same security strategy with other methods.
基金Supported by the National Natural Science Foundation of China （No. 60605019） and the National High Technology Research and Development Programe of China （No. 2003AA142160）.
文摘The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the information of incident frequency, incident time and incident space. The HoneyNet dataset is selected to evaluate the proposed model in the evaluation. The paper proposes three definitions to depict and predigest the whole situation extraction in detail, and a fusion component to reduce the influence of alert redundancy on the total security situation. The less complex extraction makes the situation analysis more efficient, and the fine-grained model makes the analysis have a better expansibility. Finally, the situational variation curves are simulated, and the evaluation results prove the situation model applicable and efficient.
