A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming

Mahsa Raeiszadeh, Ahsan Saleem, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini. A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming. In 20th IEEE Consumer Communications & Networking Conference, CCNC 2023, Las Vegas, NV, USA, January 8-11, 2023. pages 449-454, IEEE, 2023. [doi]

@inproceedings{RaeiszadehSEGEM23,
  title = {A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming},
  author = {Mahsa Raeiszadeh and Ahsan Saleem and Amin Ebrahimzadeh and Roch H. Glitho and Johan Eker and Raquel A. F. Mini},
  year = {2023},
  doi = {10.1109/CCNC51644.2023.10060584},
  url = {https://doi.org/10.1109/CCNC51644.2023.10060584},
  researchr = {https://researchr.org/publication/RaeiszadehSEGEM23},
  cites = {0},
  citedby = {0},
  pages = {449-454},
  booktitle = {20th IEEE Consumer Communications & Networking Conference, CCNC 2023, Las Vegas, NV, USA, January 8-11, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-9734-3},
}