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Taxonomy of Challenges for Digital Forensics.

Nickson M Karie1,2, Hein S Venter1

  • 1ICSA Research Group, Department of Computer Science, University of Pretoria, Private Bag X20, Hatfield, 0028, Pretoria, South Africa.

Journal of Forensic Sciences
|July 16, 2015
PubMed
Summary
This summary is machine-generated.

This study addresses the need for a formal classification of digital forensics challenges. A taxonomy categorizes these challenges into four groups, aiding future tool development.

Keywords:
digital forensic challengesdigital forensicsforensic sciencesformal classification of challengestaxonomy

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Area of Science:

  • Computer Science
  • Information Security

Background:

  • Digital forensics has evolved significantly over the past decade.
  • Despite extensive research, a formal classification of digital forensic challenges remains elusive.
  • Existing studies have identified various challenges but lack a structured categorization.

Purpose of the Study:

  • To review existing literature on digital forensic challenges over the last 10 years.
  • To propose a formal taxonomy for classifying these challenges.
  • To provide a foundation for future automated digital forensic tool development.

Main Methods:

  • A comprehensive review of existing research literature in the digital forensic domain.
  • Application of sampling and randomization techniques to manage the literature review scope.
  • Development of a taxonomy based on the reviewed literature.

Main Results:

  • Identification and analysis of numerous digital forensic challenges.
  • Proposal of a novel taxonomy classifying challenges into four distinct categories.
  • The taxonomy provides a structured overview of the state-of-the-art in digital forensics research.

Conclusions:

  • A formal classification of digital forensic challenges is necessary and has been proposed.
  • The developed taxonomy offers a clear framework for understanding and addressing digital forensic issues.
  • This work serves as a survey of current research and can guide future advancements in digital forensics.