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Forensic Behavior Analysis in Video Conferencing Based on the Metadata of Encrypted Audio and Video Streams - Considerations and Possibilities

Authors:
Robert Altschaffel
Jonas Hielscher
Christian Krätzer
Kevin Lamshöft
Jana Dittmann

Keywords: Security, Video conferencing, Zoom, Big Blue Button, User and traffic profiling, Network forensics

Abstract:
This paper discusses the possibility to perform a forensic behavior analysis on the network recordings of video conferences in order to identify different activities taking part during such conferencing. This behavior analysis is based on the audio- and video streams of such software. While the connections are usually encrypted, the possibility of using and deriving heuristic metadata from the encrypted stream in order to identify various activities (use cases) is explored. This paper shows first results of such an approach to identify various activities, which could then be used to construct a biometric pattern. Furthermore, a model for communication flows during video conferences is introduced, formalizing which specific data can be gathered at various points by an observer. A first case study employs a set of four different test cases applied to two different solutions for video conferencing.

Pages: 82 to 89

Copyright: Copyright (c) IARIA, 2020

Publication date: November 21, 2020

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-821-1

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020