Research of Intrusion Detection System Based on Neural Networks

摘要：

through in-depth study on the existing technologies about intrusion detection system, to accelerate the detection speed and improve the accuracy, this paper presents a new intrusion detection model based on neural networks. This model uses neural networks to detect, transforms the pattern recognition into numerical calculation, thereby speeding up the detection rate, while combining with expert system detection and real-time neural network training set to improve the detection accuracy.

关键词： intrusion detection neural network network security

作者: Jinguo Zhao Min Chen Qinyun Luo

作者单位: Department of Computer Science and Technology .Hunnan Institute of Technology ,Hunan,China

会议类型: 国际会议

会议名称: 2011 IEEE 3rd International Conference on Communication Software and Networks(2011第三届通信软件与网络国际会议 ICCSN2011)

会议地点: 西安

会议语种:英文

页码: 699-703

在线出版日期: 2011-05-27（万方平台首次上网日期，不代表论文的发表时间）