abstract: Due to the shortcomings of modern Mobile Device Management solutions, businesses
have begun to incorporate forensics to analyze their mobile devices and respond
to any incidents of malicious activity in order to protect their sensitive data. Current
forensic tools, however, can only look a static image of the device being examined,
making it difficult for a forensic analyst to produce conclusive results regarding the
integrity of any sensitive data on the device. This research thesis expands on the
use of forensics to secure data by implementing an agent on a mobile device that can
continually collect information regarding the state of the device. This information is
then sent to a separate server in the form of log files to be analyzed using a specialized
tool. The analysis tool is able to look at the data collected from the device over time
and perform specific calculations, according to the user's specifications, highlighting
any correlations or anomalies among the data which might be considered suspicious
to a forensic analyst. The contribution of this paper is both an in-depth explanation
on the implementation of an iOS application to be used to improve the mobile forensics
process as well as a proof-of-concept experiment showing how evidence collected
over time can be used to improve the accuracy of a forensic analysis. / Dissertation/Thesis / Masters Thesis Computer Science 2015
| Identifer | oai:union.ndltd.org:asu.edu/item:36434 |
| Date | January 2015 |
| Contributors | Whitaker, Jeremy Andrew (Author), Ahn, Gail-Joon (Advisor), Doupé, Adam (Committee member), Yau, Stephen (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Masters Thesis |
| Format | 78 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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