OpenForensics : a digital forensics GPU pattern matching approach for the 21st century
- Submitting institution
-
Abertay University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 15799808
- Type
- D - Journal article
- DOI
-
10.1016/j.diin.2018.01.005
- Title of journal
- Digital Investigation
- Article number
- -
- First page
- S29
- Volume
- 24
- Issue
- Suppl.
- ISSN
- 1742-2876
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
C - Cybersecurity
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This presents a framework, OpenForensics, that demonstrates substantial performance improvements in contemporary digital forensic analysis. The use of GPGPU computing (and the parallel-failureless Aho-Corasik algorithm in particular) for digital forensics first proposed and evaluated in this paper has inspired a number of other streams looking at the use of parallel search tools in both research and practice. The source-code of the original 'OpenForensics' tool was made available via the public repository (https://github.com/ethanbayne/OpenForensics) which has spawned nine (by Feb 2021) direct descendant projects.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
