Encrypted video traffic clustering demystified

Volume: 96, Pages: 101917 - 101917
Published: Sep 1, 2020
Abstract
Cyber threat intelligence officers and forensics investigators often require the behavioural profiling of groups based on their online video viewing activity. It has been demonstrated that encrypted video traffic can be classified under the assumption of using a known subset of video titles based on temporal video viewing trends of particular groups. Nonetheless, composing such a subset is extremely challenging in real situations. Therefore,...
Paper Details
Title
Encrypted video traffic clustering demystified
Published Date
Sep 1, 2020
Volume
96
Pages
101917 - 101917
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