Source: Proceeding. Conference titles: International Conference on Machine Learning and Machine Intelligence - MLMI. Unidades: ICMC, EESC
Subjects: SEGURANÇA DE REDES, APRENDIZADO COMPUTACIONAL, WIRELESS
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SILVA, Leandro Marcos da et al. Analysis and identification of evil twin attack through data science techniques using AWID3 dataset. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3635638.3635665. Acesso em: 10 set. 2024.APA
Silva, L. M. da, Andreghetti, V. M., Romero, R. A. F., & Branco, K. R. L. J. C. (2023). Analysis and identification of evil twin attack through data science techniques using AWID3 dataset. In Proceeding. New York: ACM. doi:10.1145/3635638.3635665NLM
Silva LM da, Andreghetti VM, Romero RAF, Branco KRLJC. Analysis and identification of evil twin attack through data science techniques using AWID3 dataset [Internet]. Proceeding. 2023 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1145/3635638.3635665Vancouver
Silva LM da, Andreghetti VM, Romero RAF, Branco KRLJC. Analysis and identification of evil twin attack through data science techniques using AWID3 dataset [Internet]. Proceeding. 2023 ;[citado 2024 set. 10 ] Available from: https://doi.org/10.1145/3635638.3635665