Fit for Forensics: Taxonomy and Common Model for Forensic Analysis of Fitness Trackers

Hammer A, Geus J, Nicolai F, Schütz P, Fein C, Freiling F (2024)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Journal

Digital Threats: Research and Practice ACM Digital Library

Conference Proceedings Title: Proceedings of the 13th International Conference on IT Security Incident Management & IT Forensics

DOI: 10.1145/3687271

Authors with CRIS profile

Andreas Hammer Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen) Julian Geus Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen) Florian Nicolai Lehrstuhl für Strafrecht, Strafprozessrecht und Rechtsphilosophie Felix Freiling Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

Related research project(s)

Cyberkriminalität und forensische Informatik (Cybercrime) Oct. 1, 2019 - March 31, 2024

Involved external institutions

Albstadt-Sigmaringen University

Germany (DE)

How to cite

APA:

Hammer, A., Geus, J., Nicolai, F., Schütz, P., Fein, C., & Freiling, F. (2024). Fit for Forensics: Taxonomy and Common Model for Forensic Analysis of Fitness Trackers. In Proceedings of the 13th International Conference on IT Security Incident Management & IT Forensics.

MLA:

Hammer, Andreas, et al. "Fit for Forensics: Taxonomy and Common Model for Forensic Analysis of Fitness Trackers." Proceedings of the 13th International Conference on IT Security Incident Management & IT Forensics 2024.

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