Anomaly Detection and Localization in NFV Systems: an Unsupervised Learning Approach. Johari, S. S., Shahriar, N., Tornatore, M., Boutaba, R., & Saleh, A. In 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, April 25-29, 2022, pages 1–9, 2022. IEEE.
Anomaly Detection and Localization in NFV Systems: an Unsupervised Learning Approach [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/noms/JohariSTBS22,
  author       = {Seyed Soheil Johari and
                  Nashid Shahriar and
                  Massimo Tornatore and
                  Raouf Boutaba and
                  Aladdin Saleh},
  title        = {Anomaly Detection and Localization in {NFV} Systems: an Unsupervised
                  Learning Approach},
  booktitle    = {2022 {IEEE/IFIP} Network Operations and Management Symposium, {NOMS}
                  2022, Budapest, Hungary, April 25-29, 2022},
  pages        = {1--9},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/NOMS54207.2022.9789938},
  doi          = {10.1109/NOMS54207.2022.9789938},
  timestamp    = {Tue, 21 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/noms/JohariSTBS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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