AUTOMATED DATA POPULATION FOR IOS DEVICES WITH AUTOPODMOBILE
Training investigators with realistic datasets is crucial for mobile forensics. However, until now, most training data has been generated manually, with very few automated solutions available. Particularly for iOS devices, there is currently no automated method for transferring data to phones. This article addresses this issue by introducing an approach that enables macros to be executed on the target device using simple onboard tools. Additionally, it presents the latest version of AutoPodMobile, a tool designed for automatic data population and injection. The paper discusses the results of a proof-of-concept implementation and concludes with an analysis of the findings, along with options for future enhancements.
Authors
- Ralf Zimmermann (ORCID: https://orcid.org/0000-0002-6280-3218)
- Philipp Engler (ORCID: https://orcid.org/0000-0001-7279-8769)
- Dirk Pawlaszczyk (ORCID: https://orcid.org/0000-0001-7485-7478)
- Margaux Michel (ORCID: https://orcid.org/0000-0001-8761-4539)
- Ronny Bodach
Institutions
- Hochschule Mittweida (DE)
- Central Statistical Office (ZM)
Publication Details
- Journal
- Journal of Digital Security and Forensics
- Published
- 2025-05-23
- DOI
- https://doi.org/10.29121/digisecforensics.v2.i1.2025.46
- Citations
- 2
- Primary Topic
- Digital and Cyber Forensics
- Type
- article
- Field-Weighted Citation Impact
- 6.49