Mitigation of Privacy Threats due to Encrypted Traffic Analysis through a Policy-Based Framework and MUD Profiles

It has been proven in research literature that the analysis of encrypted traffic with statistical analysis and machine learning can reveal the type of activities performed by a user accessing the network, thus leading to privacy risks. In particular, different types of traffic (e.g., skype, web acce...

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Bibliographic Details
Main Authors: Gianmarco Baldini, José L. Hernandez-Ramos, Slawomir Nowak, Ricardo Neisse, Mateusz Nowak
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/9/1576