Intrusion Detection in IoT Network Using Few-Shot Class Incremental Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54053-0_41
Reference62 articles.
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2. Kocher, G., Kumar, G.: Machine learning and deep learning methods for intrusion detection systems: Recent developments and challenges. Soft. Comput. 25(15), 9731–9763 (2021). https://doi.org/10.1007/s00500-021-05893-0
3. Khraisat, A., Gondal, I., Vamplew, P.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecur, 2(20) (2019). https://doi.org/10.1007/978-3-030-04503-6_14
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5. Ring, M., Wunderlich, S., Scheuring, D., Landes, D., Hotho, A.: A survey of network-based intrusion detection data sets. Comput. Secur. 86(4), 147–167 (2019). https://doi.org/10.1016/j.cose.2019.06.005
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