Analysis of data and supervised machine learning algorithms for intrusion detection (2026)
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, FALHAS COMPUTACIONAIS
ABNT
MASSON, Rafael C et al. Analysis of data and supervised machine learning algorithms for intrusion detection. Lecture Notes in Computer Science. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-032-03711-4_9. Acesso em: 29 jan. 2026. , 2026APA
Masson, R. C., Arruda, R. A. da S., Soares, A. B., Bugatti, P. H., Branco, K. R. L. J. C., & Saito, P. T. M. (2026). Analysis of data and supervised machine learning algorithms for intrusion detection. Lecture Notes in Computer Science. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-032-03711-4_9NLM
Masson RC, Arruda RA da S, Soares AB, Bugatti PH, Branco KRLJC, Saito PTM. Analysis of data and supervised machine learning algorithms for intrusion detection [Internet]. Lecture Notes in Computer Science. 2026 ; 15950 94-107.[citado 2026 jan. 29 ] Available from: https://doi.org/10.1007/978-3-032-03711-4_9Vancouver
Masson RC, Arruda RA da S, Soares AB, Bugatti PH, Branco KRLJC, Saito PTM. Analysis of data and supervised machine learning algorithms for intrusion detection [Internet]. Lecture Notes in Computer Science. 2026 ; 15950 94-107.[citado 2026 jan. 29 ] Available from: https://doi.org/10.1007/978-3-032-03711-4_9
