PSO-FNN-based Extraction of Security Situation Element

摘要：

Under the application background of networksecurity evaluation,a mechanism for situation elementextraction based on Particle Swarm Optimization(PSO)and Fuzzy Neural Network(FNN)is proposed Firstly,the input dataset of historical situation element ispre-fuzzed and then transformed into fuzzy logic rulewhich can be mapped between neural network layers.Meanwhile,PSO is used to achieve global optimizationof BP networks weight value and threshold,and thenan extraction model based on FNN and PSO(PSO-FNN)is built up.Experiment results prove thatthis extraction mechanism is effective in situationelement extraction,and can be applied in the area ofsituation extraction for network security situationawareness.

作者: Wenzhong Guo Guolong Chen Zongming Lin Yuzhong Chen Xiaotong Fang

作者单位: College of Mathematics and Computer Science,Fuzhou University,Fuzhou,350002,China College of Mathematics and Computer Science,Fuzhou University,Fuzhou,350002,China;Key Laboratory of

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 1314-1318

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）