A network intrusion detection method based on deep learning with higher accuracy

Author:

Zhang Yuening,Zhang Yiming,Zhang Nan,Xiao Mingzhong

Publisher

Elsevier BV

Subject

General Engineering

Reference7 articles.

1. Kim, J., Kim, J., Thu, H. L. T., & Kim, H. (2016). Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection. International Conference on Platform Technology & Service.

2. Liao, L., Le, F., & Zhu, Y. (2017). The application of lda model in patent text classification. Journal of Modern Information.

3. A novel hybrid kpca and svm with ga model for intrusion detection;Kuang;Applied Soft Computing Journal,2014

4. Abbes, T., Bouhoula, A., & Rusinowitch, M. (2004). Protocol Analysis in Intrusion Detection Using Decision Tree. International Conference on Information Technology: Coding & Computing.

5. An intrusion detection system using network traffic profiling and online sequential extreme learning machine;Singh;Expert Systems with Applications,2015

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