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Mobile Device Biometric Touch Gesture Information Used to Give User Identity Evidence

Authors:
Thomas Ruebsamen
Christoph Reich
Julia Bayer

Keywords: Cloud Computing, Digital Forensics, Evidence, Mobile Security, Authentication

Abstract:
Mobile devices, such as smart phones and tablets, are as popular as never before. Even corporations encourage their employees to use company services such as email and document management services on these kinds of devices. However, the security of mobile devices, especially when used in a professional environment, is still lacking behind compared to company controlled infrastructures. In our previous work, we described a novel system for securing mobile devices while leveraging the potential of seemingly unlimited resources provided by cloud computing. In this work, we extend this idea and focus on user identification using touch gesture analysis as part of the MoSeC architecture. We show that, using artificial neural networks, the analysis of user's touch behavior while using a mobile device can support authentication processes. This technology will also enable the collection of information for tracing legitimate as well as malicious access attempts and we will show how our proposed system may provide digital evidence.

Pages: 26 to 31

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-292-9

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013