SoK: Understanding Anti-Forensics Concepts and Research Practices Across Forensic Subdomains

📅 2026-04-07
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the fragmented understanding of anti-forensics in digital forensics, hindered by ambiguous definitions, inconsistent applications, and ethical controversies. To establish a coherent foundation, this work presents the first cross-subfield Systematization of Knowledge (SoK), integrating qualitative coding and quantitative analysis of 123 scholarly publications. The review clarifies the taxonomy, distribution patterns, and prevailing research paradigms of anti-forensic techniques. It further elucidates domain-specific application modalities, underlying motivations, and associated ethical challenges. Building on these insights, the paper proposes a conceptually rigorous and ethically grounded framework for anti-forensics research, thereby enabling more systematic and responsible scholarly inquiry in this critical area.
📝 Abstract
Anti-forensics includes a growing set of techniques designed to obstruct forensic analysis. While cybercriminals increasingly rely on these methods, they also help researchers identify and remedy weaknesses in forensic tools, advancing the overall robustness of digital forensics. Despite repeated efforts to define it, anti-forensics remains vague and inconsistent in its use. It also poses ethical challenges regarding the appropriateness of research practices and the legitimacy of the field itself. This article presents a systematic analysis of 123 publications on anti-forensics, combining qualitative and quantitative methods. We quantify the main techniques and attack vectors, examine their occurrence in different digital forensic subdomains, and identify typical research methods, motivations, and applications. This work also discusses what these findings mean for future research and proposes directions for building a more coherent and ethically grounded understanding of anti-forensics.
Problem

Research questions and friction points this paper is trying to address.

anti-forensics
digital forensics
research ethics
conceptual clarity
forensic subdomains
Innovation

Methods, ideas, or system contributions that make the work stand out.

anti-forensics
systematic literature review
digital forensics
research ethics
attack vectors
J
Janine Schneider
University of Augsburg
F
Florian Ramming
Friedrich-Alexander-Universität Erlangen-Nürnberg
Maximilian Eichhorn
Maximilian Eichhorn
PhD Candidate, FAU Erlangen-Nürnberg
G
Gaston Pugliese
Friedrich-Alexander-Universität Erlangen-Nürnberg
Chris Hargreaves
Chris Hargreaves
University of Oxford
digital forensicsdigital forensic science
J
Jan Gruber
Karlsruhe Institute of Technology
J
Joschua Schilling
CISPA Helmholtz Center for Information Security
Julian Geus
Julian Geus
Master of Science in Computer Science, FAU Erlangen-Nuernberg
digital forensicssmartphone securitydata acquisition
Kevin Mayer
Kevin Mayer
PhD Student, Stanford University
Deep LearningRemote SensingRenewable EnergyComputer VisionGIS
L
Lea Uhlenbrock
Friedrich-Alexander-Universität Erlangen-Nürnberg
L
Lena Voigt
Friedrich-Alexander-Universität Erlangen-Nürnberg
Frank Breitinger
Frank Breitinger
University of Augsburg
Digital forensicscybersecuritynetwork analysiscybersecurity education