Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection (2023)
Fonte: Proceedings. Nome do evento: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Assuntos: INTERNET DAS COISAS, CRIME POR COMPUTADOR, SOFTWARE LIVRE
ABNT
JOSEPHIK, João Gabriel Andrade de Araújo et al. Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LATINCOM59467.2023.10361862. Acesso em: 08 jul. 2024.APA
Josephik, J. G. A. de A., Siqueira, Y., Machado, K. G., Terada, R., Santos, A. L. D., Nogueira, M., & Batista, D. M. (2023). Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM59467.2023.10361862NLM
Josephik JGA de A, Siqueira Y, Machado KG, Terada R, Santos ALD, Nogueira M, Batista DM. Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/LATINCOM59467.2023.10361862Vancouver
Josephik JGA de A, Siqueira Y, Machado KG, Terada R, Santos ALD, Nogueira M, Batista DM. Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/LATINCOM59467.2023.10361862