Title :
Security situation analysis and prediction system for large-scale network SSAP
Author :
Weihong Han ; QingGuang Wang
Author_Institution :
Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
SSAP is developed for national backbone networks, large network operators, large enterprises and other large-scale networks. The system collects, interprets and displays the security factors which cause changes of network situation, and predicts the future development trend of these security factors. This paper describes its architecture and key technologies: security data integration technology for distributed heterogeneous network, association analysis technology oriented the major network security events, real-time analysis technology based on the data flow and multi-dimensional analysis for network security data, network security situation prediction technology, and so on. The performance tests show that SSAP has high real-time and accuracy in security situation analysis and trend prediction. The system meets the demands of analysis and prediction for large-scale network security situation.
Keywords :
Internet; data integration; security of data; association analysis technology; data flow; distributed heterogeneous network; large enterprises; large network operators; large-scale network SSAP; large-scale networks; multidimensional analysis; national backbone networks; network security data; network security events; network security situation prediction technology; real-time analysis technology; security data integration technology; security factor collection; security factor display; security factor interpretation; security situation analysis; security situation analysis and prediction system; security trend prediction; Association Analysis; Data Flow; Multi-dimensional Analysis; Network Security Situation Analysis and Prediction;
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6