Enhancing Network Intrusion Detection Systems Through Dimensionality Reduction
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66965-1_24
Reference24 articles.
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2. Abualhaj, M., et al.: A fine-tuning of decision tree classifier for ransomware detection based on memory data. Int. J. Data Netw. Sci. 8(2), 733–742 (2024)
3. Chandre, P.R., Mahalle, P.N., Shinde, G.R.: Machine learning based novel approach for intrusion detection and prevention system: a tool based verification. In: IEEE Global Conference on Wireless Computing and Networking (GCWCN), Lonavala, India, pp. 135–140 (2018). https://doi.org/10.1109/GCWCN.2018.8668618
4. Abualhaj, M., Abu-Shareha, A., Shambour, Q., Alsaaidah, A., Al-Khatib, S., Anbar, M.: Customized K-nearest neighbors’ algorithm for malware detection. Int. J. Data Netw. Sci. 8(1), 431–438 (2024)
5. Zhou, P.-Z., Zhang, H., Liang, W.: Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm. Connection Sci. 35(1), 1–24 (2023). https://doi.org/10.1080/09540091.2023.2195595
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