Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks

Article Properties
  • DOI (url)
    10.1109/tgcn.2023.3335342
  • Publication Date
    2024/03/01
  • Journal
    IEEE Transactions on Green Communications and Networking
  • Indian UGC (journal)
  • Refrences
    87
  • Ahmad Shahnejat Bushehri Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC, Canada ORCID (unauthenticated)
  • Ashkan Amirnia Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC, Canada
  • Adel Belkhiri Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada ORCID (unauthenticated)
  • Samira Keivanpour Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC, Canada ORCID (unauthenticated)
  • Felipe Gohring de Magalhães Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada ORCID (unauthenticated)
  • Gabriela Nicolescu Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada
Cite
Shahnejat Bushehri, Ahmad, et al. “Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks”. IEEE Transactions on Green Communications and Networking, vol. 8, no. 1, 2024, pp. 498-13, https://doi.org/10.1109/tgcn.2023.3335342.
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., de Magalhães, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. https://doi.org/10.1109/tgcn.2023.3335342
Shahnejat Bushehri A, Amirnia A, Belkhiri A, Keivanpour S, de Magalhães FG, Nicolescu G. Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking. 2024;8(1):498-513.
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Refrences
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IoT-Based Embedded Sensor System for Real-Time Health Monitoring of Composite Structures for Large-Scale Industrial Operations 2023
Heterogeneous communication scheme for IoT smart nodes 2021
Sustainable modular IoT solution for smart cities applications supported by machine learning algorithms 2021