Creating a standardized corpus for digital stratigraphic methods with fsstratify

Digital stratigraphic methods aim to infer new information about digital objects using their depositional context. Many such methods have been developed, for example, to interpret file allocation traces and thereby estimate timestamps of file fragments based on their position on disk. Such methods are difficult to compare. We therefore present a corpus of NTFS file system images that can be used to evaluate these methods. The corpus comprises different categories, each extensively employing a small subset of file system operations to display their effect on file allocation traces. We demonstrate the usefulness of this corpus by evaluating the method of Bahjat and Jones (2019) that derives the timestamp of a file fragment from the timestamps of neighboring files. The corpus was generated using a revised version of fsstratify , a software framework to simulate file system usage. The tool is able to log the position of content data during file creation, greatly facilitating research in the realm of digital stratigraphy.

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Publication Details

Journal
Forensic Science International Digital Investigation
Published
2025-10-01
DOI
https://doi.org/10.1016/j.fsidi.2025.301986
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Creating a standardized corpus for digital stratigraphic methods with fsstratify

Mariia Rybalka, Felix Freiling, Martin Lambertz, Lisa Marie Dreier et al.
Forensic Science International Digital Investigation
Digital and Cyber Forensics
article

Creating a standardized corpus for digital stratigraphic methods with fsstratify

Mariia Rybalka, Felix Freiling, Martin Lambertz, Lisa Marie Dreier, Julian Uthoff
article en

Abstract

Digital stratigraphic methods aim to infer new information about digital objects using their depositional context. Many such methods have been developed, for example, to interpret file allocation traces and thereby estimate timestamps of file fragments based on their position on disk. Such methods are difficult to compare. We therefore present a corpus of NTFS file system images that can be used to evaluate these methods. The corpus comprises different categories, each extensively employing a small subset of file system operations to display their effect on file allocation traces. We demonstrate the usefulness of this corpus by evaluating the method of Bahjat and Jones (2019) that derives the timestamp of a file fragment from the timestamps of neighboring files. The corpus was generated using a revised version of fsstratify , a software framework to simulate file system usage. The tool is able to log the position of content data during file creation, greatly facilitating research in the realm of digital stratigraphy.

Forensic Science International Digital InvestigationVol. 54
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Hamburg Institut (Germany) (DE), Fraunhofer Institute for Communication, Information Processing and Ergonomics (DE)
Openalex Percentile: Top 54%
Digital and Cyber Forensics
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