Silva, Leandro Marcos da 
; Andreghetti, Vinícius Moraes ; Romero, Roseli Aparecida Francelin ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceeding. Conference titles: International Conference on Machine Learning and Machine Intelligence - MLMI. Unidades: ICMC, EESC
Subjects: SEGURANÇA DE REDES, APRENDIZADO COMPUTACIONAL, WIRELESS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 nov. 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 nov. 04 ] 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 nov. 04 ] Available from: https://doi.org/10.1145/3635638.3635665
