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A Concept for a Comprehensive Understanding of Communication in Mobile Forensics

Authors:
Jian Xi
Michael Spranger
Dirk Labudde

Keywords: Semantic Analysis; Mobile Forensics; Multi- modal Machine Learning

Abstract:
Nowadays, mobile devices play a crucial role in our daily life. In practice, criminals also use mobile devices to communicate. Therefore, they have been becoming an important resource for evidence for law enforcement agencies. Especially, the communication between criminals may provide information that could be important for a criminal investigation. Further- more, the extensive use of mobile devices every day leads to a huge amount of data. Often, it would take too much time to analyze and sort through all the data manually and in some cases, it is not even possible. Additionally, investigators are faced with heterogeneity in the data. Not only are different messengers used to communicate, yet communication is no longer restricted to textual communication and might also include videos or pictures. For this reason, this paper proposes a novel concept that takes different types of media and communication channels in a joint semantic analysis of the content into account. Additionally, a communication network can be derived in terms of topics discussed between users that communicated via smartphone.

Pages: 74 to 76

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-891-4

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021