Fortifying Machine Learning-Powered Intrusion Detection: A Defense Strategy Against Adversarial Black-Box Attacks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3289-0_52
Reference38 articles.
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2. Al-Daweri MS, Zainol Ariffin KA, Abdullah S, Md. Senan MFE (2020) An analysis of the kdd99 and unsw-nb15 datasets for the intrusion detection system. Symmetry 12(10):1666. https://doi.org/10.3390/sym12101666
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4. Alarsan FI, Younes M (2021) Best selection of generative adversarial networks hyper-parameters using genetic algorithm. SN Comput Sci 2(4):283. https://doi.org/10.1007/s42979-021-00689-3
5. Alatwi HA, Aldweesh A (2021) Adversarial black-box attacks against network intrusion detection systems: a survey. In: 2021 IEEE world AI IoT congress (AIIoT). IEEE, pp 34–40. https://doi.org/10.1109/AIIOT52608.2021.9454214
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