Privacy-preserving federated learning-based intrusion detection system for IoHT devices (2025)
- Authors:
- USP affiliated authors: BATISTA, DANIEL MACEDO - IME ; MOSAIYEBZADEH, FATEMEH - IME
- Unidade: IME
- DOI: 10.3390/electronics14010067
- Subjects: INTERNET DAS COISAS; APRENDIZAGEM PROFUNDA; AVALIAÇÃO DE DESEMPENHO
- Keywords: IoHT; federated learning; differential privacy; deep learning; intrusion detection
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Electronics
- ISSN: 2079-9292
- Volume/Número/Paginação/Ano: v. 14, n. 1, artigo n. 67, p. 1-18, 2025
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
-
ABNT
MOSAIYEBZADEH, Fatemeh et al. Privacy-preserving federated learning-based intrusion detection system for IoHT devices. Electronics, v. 14, n. artigo 67, p. 1-18, 2025Tradução . . Disponível em: https://doi.org/10.3390/electronics14010067. Acesso em: 26 dez. 2025. -
APA
Mosaiyebzadeh, F., Pouriyeh, S., Han, M., Liu, L., Xie, Y., Zhao, L., & Batista, D. M. (2025). Privacy-preserving federated learning-based intrusion detection system for IoHT devices. Electronics, 14( artigo 67), 1-18. doi:10.3390/electronics14010067 -
NLM
Mosaiyebzadeh F, Pouriyeh S, Han M, Liu L, Xie Y, Zhao L, Batista DM. Privacy-preserving federated learning-based intrusion detection system for IoHT devices [Internet]. Electronics. 2025 ; 14( artigo 67): 1-18.[citado 2025 dez. 26 ] Available from: https://doi.org/10.3390/electronics14010067 -
Vancouver
Mosaiyebzadeh F, Pouriyeh S, Han M, Liu L, Xie Y, Zhao L, Batista DM. Privacy-preserving federated learning-based intrusion detection system for IoHT devices [Internet]. Electronics. 2025 ; 14( artigo 67): 1-18.[citado 2025 dez. 26 ] Available from: https://doi.org/10.3390/electronics14010067 - Federated learning in smart healthcare: a survey of applications, challenges, and future directions
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Informações sobre o DOI: 10.3390/electronics14010067 (Fonte: oaDOI API)
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