A Network Intrusion Detection Approach combined with Genetic Algorithm and Back Propagation Neural Network

摘要：

IDS can offer protection from external users and internal attackers, where traffic doesnt go past the firewall at all. The research on IDS attempted to use neural networks for intrusion detection has been carried on and will continue. Such systems were trained on normal or attack behavior information and then detect intrusions or attacks. In this paper, we have described five kinds of Neural Network technologies that are used in IDS. An IDS combining with GA and BP is put forward, and functions of each module are detailed. Finally, a discussion of the future NN technologies, which promise to enhance the detection ability of IDS is provided.

作者: XiaoHang Yao

作者单位: Dept.of computer Information, Linyi Normal University

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 402-405

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）