iCOP : live forensics to reveal previously unknown criminal media on P2P networks
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 154337922
- Type
- D - Journal article
- DOI
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10.1016/j.diin.2016.07.002
- Title of journal
- Digital Investigation
- Article number
- -
- First page
- 50
- Volume
- 18
- Issue
- -
- ISSN
- 1742-2876
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
I - Security
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper addresses one of the fundamental challenges in forensic analysis of online data – that of efficiently and accurately detecting criminal media in large-scale peer-to-peer networks. The iCOP tool was demonstrated live at Interpol (for detection of child abuse media) and is subsequently being utilised by a number of law enforcement agencies across Europe. It was the subject of several invited talks: UN Office on Drugs and Crime Conference, Bangkok, 2017; Conf Keynote Beijing, China 2016; Invited talk: Dagstuhl seminar in 2017 and an invited talk at Facebook London 2018. The work has also featured in the media (WIRED).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
