A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming
(2023)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/20f3fe78-bbb9-4c45-a19c-c587809e40d2
- author
- Raeiszadeh, Mahsa
; Saleem, Ahsan
; Ebrahimzadeh, Amin
; Glitho, Roch
; Eker, Johan
LU
and Mini, Raquel LU
- organization
- publishing date
- 2023-01-08
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of IEEE CCNC 2023
- language
- English
- LU publication?
- yes
- id
- 20f3fe78-bbb9-4c45-a19c-c587809e40d2
- date added to LUP
- 2023-01-16 11:23:43
- date last changed
- 2025-04-04 14:45:59
@inproceedings{20f3fe78-bbb9-4c45-a19c-c587809e40d2, author = {{Raeiszadeh, Mahsa and Saleem, Ahsan and Ebrahimzadeh, Amin and Glitho, Roch and Eker, Johan and Mini, Raquel}}, booktitle = {{Proceedings of IEEE CCNC 2023}}, language = {{eng}}, month = {{01}}, title = {{A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming}}, year = {{2023}}, }