IoT DDoS detection based on stream learning (2021)
- Authors:
- USP affiliated authors: BATISTA, DANIEL MACEDO - IME ; HIRATA JUNIOR, ROBERTO - IME ; ARBEX, GUSTAVO VITRAL - IME ; MACHADO, KÉTLY GONÇALVES - IME
- Unidade: IME
- DOI: 10.1109/NoF52522.2021.9609940
- Subjects: INTERNET DAS COISAS; SEGURANÇA DE REDES
- Keywords: Security; Intrusion Detection System; Distributed Denial of Service; Stream Learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: International Conference on Network of the Future - NoF
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ARBEX, Gustavo Vitral et al. IoT DDoS detection based on stream learning. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/NoF52522.2021.9609940. Acesso em: 04 mar. 2026. -
APA
Arbex, G. V., Machado, K. G., Nogueira, M., Batista, D. M., & Hirata Júnior, R. (2021). IoT DDoS detection based on stream learning. In Proceedings. Piscataway: IEEE. doi:10.1109/NoF52522.2021.9609940 -
NLM
Arbex GV, Machado KG, Nogueira M, Batista DM, Hirata Júnior R. IoT DDoS detection based on stream learning [Internet]. Proceedings. 2021 ;[citado 2026 mar. 04 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609940 -
Vancouver
Arbex GV, Machado KG, Nogueira M, Batista DM, Hirata Júnior R. IoT DDoS detection based on stream learning [Internet]. Proceedings. 2021 ;[citado 2026 mar. 04 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609940 - Detecção de ataques DDoS no tráfego da IoT utilizando métodos ensemble para classificação de fluxos contínuos de dados
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- AnubisFlow: a feature extractor for distributed denial of service attack classification
- A network intrusion detection system using deep learning against MQTT attacks in IoT
Informações sobre o DOI: 10.1109/NoF52522.2021.9609940 (Fonte: oaDOI API)
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