A network intrusion detection system using deep learning against MQTT attacks in IoT (2021)
- Authors:
- USP affiliated authors: BATISTA, DANIEL MACEDO - IME ; HIRATA JUNIOR, ROBERTO - IME ; MOSAIYEBZADEH, FATEMEH - IME ; RODRIGUEZ, LUIS GUSTAVO ARAUJO - IME
- Unidade: IME
- DOI: 10.1109/LATINCOM53176.2021.9647850
- Subjects: APRENDIZAGEM PROFUNDA; CIDADES INTELIGENTES; INTERNET DAS COISAS
- Keywords: Reproducibility of results; Telemetry; Cybersecurity
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título do periódico: Proceedings
- ISSN: 2330-989X
- Conference titles: Latin-American Conference on Communications - LATINCOM
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MOSAIYEBZADEH, Fatemeh et al. A network intrusion detection system using deep learning against MQTT attacks in IoT. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/LATINCOM53176.2021.9647850. Acesso em: 18 abr. 2024. -
APA
Mosaiyebzadeh, F., Rodriguez, L. G. A., Batista, D. M., & Hirata Júnior, R. (2021). A network intrusion detection system using deep learning against MQTT attacks in IoT. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM53176.2021.9647850 -
NLM
Mosaiyebzadeh F, Rodriguez LGA, Batista DM, Hirata Júnior R. A network intrusion detection system using deep learning against MQTT attacks in IoT [Internet]. Proceedings. 2021 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647850 -
Vancouver
Mosaiyebzadeh F, Rodriguez LGA, Batista DM, Hirata Júnior R. A network intrusion detection system using deep learning against MQTT attacks in IoT [Internet]. Proceedings. 2021 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647850 - Intrusion detection system for IoHT devices using federated learning
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Informações sobre o DOI: 10.1109/LATINCOM53176.2021.9647850 (Fonte: oaDOI API)
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