Network intrusion detection using multi-architectural modular deep neural network

Author:

Atefinia Ramin,Ahmadi MahmoodORCID

Funder

Razi University

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference37 articles.

1. Al-Yaseen WL, Othman ZA, Nazri MZA (2017) Multi-level hybrid support vector machine and extreme learning machine based on modified k-means for intrusion detection system. Expert Syst Appl 67:296–303

2. Amer M, Maul T (2019) A review of modularization techniques in artificial neural networks. Artif Intell Rev 52(1):527–561

3. Basnet RB, Shash R, Johnson C, Walgren L, Doleck T (2019) Towards detecting and classifying network intrusion traffic using deep learning frameworks. J Internet Serv Inf Secur 9(4):1–17

4. Chen CM, Chen YL, Lin HC (2010) An efficient network intrusion detection. Comput Commun 33(4):477–484

5. Chung J, Gulcehre C, Cho K, Bengio Y (2014) Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:14123555

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