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

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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]

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