Application of an Improved multi-layer BP Neural Network Algorithm in Intrusion Detection
this paper analyzes the shortcomings of traditional multilayer BP neural network in intrusion detection,and gives an optimized multilayer BP neural network algorithm based on matrix,which has good readability,higher recognition rates and the faster program execution speed,etc.On the basis of this,the improved algorithm,combined with principal component analysis and other methods,is applied to intrusion detection.Theoretical analysis and experimental data show that the proposed algorithm is more concise and it can detect intrusions more quickly and efficiently,compared with the traditional multi-layer neural networks.
multi-layer neural network BP neural network matrix intrusion detection
Hao Zhang Bin Li
Department of Computer Science and Engineering Harbin Institute of Technology at Weihai 264209 Weiha Department of Computer Science and Engineering Harbin Institute of Technology 150001 Harbin, China
国际会议
哈尔滨
英文
619-622
2016-07-21（万方平台首次上网日期，不代表论文的发表时间）