[Single chapter]Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS

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https://link.springer.com/chapter/10.1007/978-3-031-64948-6_1

DOI https://doi.org/10.1007/978-3-031-64948-6_1

Rusch, N., Akbarfam, A.J., Maleki, H., Agrawal, G., Dorai, G. (2025). Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS. In: Duan, H., Debbabi, M., de Carné de Carnavalet, X., Luo, X., Du, X., Au, M.H.A. (eds) Security and Privacy in Communication Networks. SecureComm 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 567. Springer, Cham.

https://doi.org/10.1007/978-3-031-64948-6_1
Published13 October 2024
Publisher NameSpringer, Cham
Print ISBN978-3-031-64947-9
Online ISBN978-3-031-64948-6

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[Springer] [Single chapter]Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS

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