Data-Driven Evaluation of Intrusion Detectors: A Methodological Framework
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30122-3_9
Reference46 articles.
1. Abbas, A., Khan, M.A., Latif, S., Ajaz, M., Shah, A.A., Ahmad, J.: A new ensemble-based intrusion detection system for internet of things. Arab. J. Sci. Eng. 47(2), 1805–1819 (2022). https://doi.org/10.1007/s13369-021-06086-5
2. Abdelmoumin, G., Whitaker, J., Rawat, D.B., Rahman, A.: A survey on data-driven learning for intelligent network intrusion detection systems. Electronics 11(2), 213 (2022)
3. Al-Qatf, M., Lasheng, Y., Al-Habib, M., Al-Sabahi, K.: Deep learning approach combining sparse autoencoder with SVM for network intrusion detection. IEEE Access 6, 52843–52856 (2018)
4. Alrawashdeh, K., Purdy, C.: Toward an online anomaly intrusion detection system based on deep learning. In: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 195–200 (2016)
5. Axelsson, S.: The base-rate fallacy and the difficulty of intrusion detection. ACM Trans. Inf. Syst. Secur. (TISSEC) 3(3), 186–205 (2000)
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