Fingerprinting JPEGs With Optimised Huffman Tables
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1110542
- Type
- D - Journal article
- DOI
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10.15394/jdfsl.2018.1451
- Title of journal
- Journal of Digital Forensics, Security and Law
- Article number
- 7
- First page
- -
- Volume
- 13
- Issue
- 2
- ISSN
- 1558-7215
- Open access status
- Compliant
- Month of publication
- October
- 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)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work makes use of concepts originally derived from compressed domain Content Based Image Retrieval (CBIR), which appears to have seen little use in forensics thus far. The idea of using media file compression data to identify files has only been applied to identify cameras in prior forensics work, whereas this paper uses it to identify specific files - which is a significant improvement.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -