Taxonomy of Data Fragment Classification Techniques

Several fields of digital forensics (i.e. file carving, memory forensics, network forensics) require the reliable data type classification of digital fragments. Up to now, a multitude of research papers proposing new classification approaches have been published. Within this paper we comprehensively...

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Bibliographic Details
Published inDigital Forensics and Cyber Crime pp. 67 - 85
Main Authors Poisel, Rainer, Rybnicek, Marlies, Tjoa, Simon
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Subjects
Classification
Collating
Computer forensics
Data fragment
Digital forensics
File carving
Recovery
Taxonomy
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Summary:Several fields of digital forensics (i.e. file carving, memory forensics, network forensics) require the reliable data type classification of digital fragments. Up to now, a multitude of research papers proposing new classification approaches have been published. Within this paper we comprehensively review existing classification approaches and classify them into categories. For each category, approaches are grouped based on shared commonalities. The major contribution of this paper is a novel taxonomy of existing data fragment classification approaches. We highlight progress made by previous work facilitating the identification of future research directions. Furthermore, the taxonomy can provide the foundation for future knowledge-based classification approaches.
ISBN:3319142887
9783319142883
ISSN:1867-8211
1867-822X
DOI:10.1007/978-3-319-14289-0_6