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Digital Forensics Experimentation: Analysis and Recommendations.

E OliveiraJr1, T J Silva1, A F Zorzo2

  • 1Informatics Department, State University of Maringá, Maringá, Paraná, Brazil.

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|February 2, 2022
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Summary
This summary is machine-generated.

Digital forensics (DF) experiments need better documentation and data sharing for reproducibility. This study highlights common experimental shortcomings and offers recommendations for more reliable research in DF.

Keywords:
Evidenceexperimentrecommendationsreplication

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Area of Science:

  • Computer Science
  • Digital Forensics Research

Background:

  • Digital forensics (DF) is a critical field for legal evidence acquisition and analysis.
  • Reproducibility in DF experiments is hindered by inadequate documentation and data sharing.

Purpose of the Study:

  • To characterize the current state of research experiments in digital forensics.
  • To identify deficiencies in the documentation and reproducibility of DF studies.

Main Methods:

  • Conducted a Systematic Mapping Study (SMS) of 107 primary studies on digital forensics experiments.
  • Analyzed studies for the presence and quality of essential experimental components.

Main Results:

  • DF experiments frequently lack crucial details like hypotheses, variables, setup, and statistical analyses.
  • Significant gaps exist in reporting validity evaluation, limitations, and data sharing practices.
  • The reproducibility of digital forensics research is currently insufficient.

Conclusions:

  • Digital forensics experimentation requires substantial improvement in documentation and data sharing.
  • Recommendations are proposed to enhance the reliability, replication, and reproducibility of DF studies.
  • Improved experimental practices will benefit both academic researchers and legal practitioners.