Application of BPNN in Intrusion Decision for I2D2RS

摘要：

Neural networks have good learning and associative memory abilities have been widely applied to various fields.In this paper,we employed the Backpropagation Neural Network(BPNN)to replace the fuzzy methods of the Intelligent Intrusion Detection,Decision,Response System(I2D2RS)1to decide the intrusion.Through this improvement the processing of the system was simplified and the performance of the system was enhanced in the Intrusion Decision.The efficiency of these improvements was con-firmed with the experiments.

作者: Hongmei Kai Hongbing Zhu Kei Eguchi

作者单位: Hiroshima Kokusai Gakuin University,Japan Wuhan University of Science and Technology,China Hiroshima Kokusai Gakuin University,Japan Shizuoka University,Japan

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）