Network Intrusion System Detection Using Machine and Deep Learning Models: A Comparative Study

Author:

Benchama Asmaa,Bensoltane Rajae,Zebbara Khalid

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Li, W. et al.: A new intrusion detection system based on KNN classification algorithm in wireless sensor network. J. Electri. Comput. Eng. (2014)

2. Shapoorifard, H., Shamsinejad, P.: Intrusion detection using a novel hybrid method incorporating an improved KNN. Int. J. Comput. Appl. 173(1), 5–9 (2017)

3. Farnaaz, N., Jabbar, M.: Random forest modeling for network intrusion detection system. Proc. Comput. Sci. 89, 213–217 (2016)

4. Staudemeyer, R.C.: Applying long short-term memory recurrent neural networks to intrusion detection. South Afri. Comput. J. 56(1), 136–154 (2015)

5. Yin, C., et al.: A deep learning approach for intrusion detection using recurrent neural networks. IEEE Access 5, 21954–21961 (2017)

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