Enhancing Accuracy with Recursive Feature Selection Using Multiple Machine Learning and Deep Learning Techniques on NSL-KDD Dataset
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9518-9_18
Reference22 articles.
1. Agarwal M, Pasumarthi D, Biswas S, Nandi S (2016) Machine learning approach for detection of flooding dos attacks in 802.11 networks and attacker localization. Int J Mach Learn Cybern 7:1035–1051
2. 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
3. Ahsan M, Nygard KE (2020) Convolutional neural networks with lstm for intrusion detection. CATA 69:69–79
4. Alghamdi R, Bellaiche M (2022) Evaluation and selection models for ensemble intrusion detection systems in iot. IoT 3(2):285–314
5. Filom S, Amiri AM, Razavi S (2022) Applications of machine learning methods in port operations-a systematic literature review. Trans Res Part E: Logist Transp Rev 161:102722
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