Towards a reliable comparison and evaluation of network intrusion detection systems based on machine learning approaches

1. Magán-Carrión, R.
2. Urda, D.
3. Díaz-Cano, I.
4. Dorronsoro, B.

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DOI: 10.3390/APP10051775 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10498/22871 HANDLE: https://hdl.handle.net/10259/7240 HANDLE: https://hdl.handle.net/10481/98543

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Data source: Scopus