AUTOMATED DATA POPULATION FOR IOS DEVICES WITH AUTOPODMOBILE
DOI:
https://doi.org/10.29121/digisecforensics.v2.i1.2025.46Keywords:
Dataset Creation, Data Population, Ios, Mobile Forensics, AutopodmobileAbstract
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.
References
Delgado, A. A. C., Glisson, W. B., Grispos, G., & Choo, K. R. (2021). FADE: A Forensic Image Generator for Android Device Education. WIREs Forensic Science, 4(2), e1432. https://doi.org/10.1002/wfs2.1432
Demmel, M., Göbel, T., Gonçalves, P., & Baier, H. (2024). Data Synthesis is Going Mobile—On Community-Driven Dataset Generation for Android Devices. Digital Threats, 5(3), Article 30. https://doi.org/10.1145/3688807
Du, X., Hargreaves, C., Sheppard, J., & Scanlon, M. (2021). TraceGen: User Activity Emulation for Digital Forensic Test Image Generation. Proceedings of the 1st Annual DFRWS APAC Conference. https://doi.org/10.1016/j.fsidi.2021.301133
Gonçalves, P., Dološ, K., Stebner, M., Attenberger, A., & Baier, H. (2022). Revisiting the Dataset Gap Problem–on Availability, Assessment, and Perspective of Mobile Forensic Corpora. Forensic Science International: Digital Investigation, 43, 301439. https://doi.org/10.1016/j.fsidi.2022.301439
Grajeda, C., Breitinger, F., & Baggili, I. (2017). Availability of Datasets for Digital Forensics – and What is Missing. Digital Investigation, 22(Supplement), S94-S105. https://doi.org/10.1016/j.diin.2017.06.004
Göbel, T., Maltan, S., Türr, J., Baier, H., & Mann, F. (2022). ForTrace–A Holistic Forensic Data Set Synthesis Framework. Forensic Science International: Digital Investigation, 40, 301344. https://doi.org/10.1016/j.fsidi.2022.301344
Horsman, G. (2019). Tool Testing and Reliability Issues in the Field of Digital Forensics. Digital Investigation, 28, 163–175. https://doi.org/10.1016/j.diin.2019.01.009
Hummert, C., & Pawlaszczyk, D. (2022). Mobile Forensics – The File Format Handbook. Springer. https://doi.org/10.1007/978-3-030-98467-0_5
Michel, M., Pawlaszczyk, D., & Zimmermann, R. (2022). AutoPoD-Mobile—Semi-Automated Data Population Using Case-Like Scenarios for Training and Validation in Mobile Forensics. Forensic Sciences, 2(2), 302-320. https://doi.org/10.3390/forensicsci2020023
National Institute for Standards and Technologies (NIST). (2025). The CFReDS Project. 2025, April, 20.
Pawlaszczyk, D. (2022). Mobile Forensics – The End of a Golden Age? Journal of Forensic Science & Criminal Investigations, 15(4), 555917. https://doi.org/10.19080/JFSCI.2022.15.555917
Scanlon, M., Du, X., & Lillis, D. (2017). EviPlant. Digital Investigation, 20(S), S29–S36. https://doi.org/10.1016/j.diin.2017.01.010
Visti, H., Tohill, S., & Douglas, P. (2015). Automatic Creation of Computer Forensic Test Images. In Computational Forensics (pp. 163–175). Springer. https://doi.org/10.1007/978-3-319-20125-2_14
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dirk Pawlaszczyk, Philipp Engler, Ronny Bodach, Michel Margaux, Ralf Zimmermann

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.