Year: 2025
Type: article
Abstract: 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: Dirk Pawlaszczyk, Philipp Engler, Ronny Bodach, Margaux Michel, Ralf Zimmermann
Institution: Hochschule Mittweida
Language: English
Topic: Digital and Cyber Forensics
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410696255