A fuzzy intrusion detection system for identifying cyber-attacks on IoT networks (2020)
Source: Proceedings. Conference titles: IEEE Latin-American Conference on Communications - LATINCOM. Unidade: ICMC
Subjects: INTERNET DAS COISAS, APRENDIZADO COMPUTACIONAL, FUZZY (INTELIGÊNCIA ARTIFICIAL)
ABNT
CRISTIANI, André Luis et al. A fuzzy intrusion detection system for identifying cyber-attacks on IoT networks. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/LATINCOM50620.2020.9282320. Acesso em: 25 set. 2024.APA
Cristiani, A. L., Lieira, D. D., Meneguette, R. I., & Camargo, H. de A. (2020). A fuzzy intrusion detection system for identifying cyber-attacks on IoT networks. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM50620.2020.9282320NLM
Cristiani AL, Lieira DD, Meneguette RI, Camargo H de A. A fuzzy intrusion detection system for identifying cyber-attacks on IoT networks [Internet]. Proceedings. 2020 ;[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/LATINCOM50620.2020.9282320Vancouver
Cristiani AL, Lieira DD, Meneguette RI, Camargo H de A. A fuzzy intrusion detection system for identifying cyber-attacks on IoT networks [Internet]. Proceedings. 2020 ;[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/LATINCOM50620.2020.9282320