Author:
Dubey Swikrati,Gupta Chetan
Publisher
Springer Nature Singapore
Reference21 articles.
1. Sarvari S, Sani NFM, Hanapi ZM, Abdullah MT (2020) An efficient anomaly intrusion detection method with feature selection and evolutionary neural network. IEEE Access 8:70651–70663
2. Le T-T-H, Kim Y, Kim H (2019) Network intrusion detection based on novel feature selection model and various recurrent neural networks. Appl Sci 9:1392
3. Ambusaidi MA, He X, Tan Z, Nanda P, Lu LF, Nagar UT. A novel feature selection approach for intrusion detection data classification, p 8
4. Ferriyan A, Thamrin AH, Takeda K, Murai J (2017) Feature selection using genetic algorithm to improve classification in network intrusion detection system. In: 2017 international electronics symposium on knowledge creation and intelligent computing (IES-KCIC), pp 46–49. https://doi.org/10.1109/KCIC.2017.8228458
5. Tomar N (2015) A survey on data mining optimization techniques. IJSTE Int J Sci Technol Eng 2(06)
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