Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS?. Catillo, M., Pecchia, A., & Villano, U. In pages 132 – 136, 2023.
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Paper doi bibtex 5 downloads
Paper doi bibtex 5 downloads @INPROCEEDINGS{Villano-e.76,
author = {Catillo, Marta and Pecchia, Antonio and Villano, Umberto},
title = {Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS?},
year = {2023},
journal = {Proceedings - 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2023},
pages = {132 – 136},
doi = {10.1109/DSN-S58398.2023.00038},
url={http://ultraviolet.ding.unisannio.it/villano/papers/DSN2023.pdf}
}Downloads: 5
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