Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection (2023)
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: INTERNET DAS COISAS, CRIME POR COMPUTADOR, SOFTWARE LIVRE
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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: 03 jan. 2026.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 2026 jan. 03 ] 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 2026 jan. 03 ] Available from: https://doi.org/10.1109/LATINCOM59467.2023.10361862
