Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques

Daniele Ucci, Filippo Sobrero, Federica Bisio, Matteo Zorzino. Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{UcciSBZ21,
  title = {Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques},
  author = {Daniele Ucci and Filippo Sobrero and Federica Bisio and Matteo Zorzino},
  year = {2021},
  doi = {10.1109/SSCI50451.2021.9659955},
  url = {https://doi.org/10.1109/SSCI50451.2021.9659955},
  researchr = {https://researchr.org/publication/UcciSBZ21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-9048-8},
}