Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09552-4.pdf
Reference34 articles.
1. Ahmad Z, Shahid Khan A, Wai Shiang C, Abdullah J, Ahmad F (2021) Network intrusion detection system: a systematic study of machine learning and deep learning approaches. Trans Emerg Telecommun Technol 32(1):e4150
2. Andresini G, Appice A, Caforio FP, Malerba D, Vessio G (2022) Roulette: a neural attention multi-output model for explainable network intrusion detection. Expert Syst Appl 201:117144
3. Aoudni Y, Donald C, Farouk A, Sahay KB, Babu DV, Tripathi V, Dhabliya D (2022) Cloud security based attack detection using transductive learning integrated with hidden Markov model. Pattern Recogn Lett 157:16–26
4. Apruzzese G, Pajola L, Conti M (2022) The cross-evaluation of machine learning-based network intrusion detection systems. IEEE Trans Netw Serv Manag 19(4):5152–5169
5. Atefinia R, Ahmadi M (2021) Network intrusion detection using multi-architectural modular deep neural network. J Supercomput 77(4):3571–3593
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