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On the Use of Vgs for Feature Selection in Supervised Machine Learning - A Use Case to Detect Distributed Dos Attacks

AuthID
P-010-1SF

Author(s)

Lopes, J

Partida, A

Pinto, P

Pinto, A

Editor(s)

Pereira,AI;Mendes,AB;Fernandes,FP;Pacheco,MF;Coelho,JP;Lima,J

Document Type

Proceedings Paper

Year published

2023

Published

in Optimization, Learning Algorithms and Applications - Third International Conference, OL2A 2023, Ponta Delgada, Portugal, September 27-29, 2023, Revised Selected Papers, Part I in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 1981, Pages: 269-283

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Dblp^®/en/publications/view/1050415

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Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-53025-8_19

Dblp: conf/ol2a/LopesP0P23

Source Identifiers

ISSN: 1865-0929

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On the Use of Vgs for Feature Selection in Supervised Machine Learning - A Use Case to Detect Distributed Dos Attacks

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