Automatically dismantling online dating fraud
- Submitting institution
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University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 198018575
- Type
- D - Journal article
- DOI
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10.1109/TIFS.2019.2930479
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- -
- First page
- 1128
- Volume
- 15
- Issue
- -
- ISSN
- 1556-6013
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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- 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
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5
- Research group(s)
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B - Cybersecurity and Cryptography
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents and evaluates the first fully-described system for identifying online dating fraud profiles. Has been presented to a number of industrial interests, including the online personals platform Gumtree and the fraud detection platform Scamalytics, as well as government and international NGO representatives. This work was the subject of an EPSRC press release (https://webarchive.nationalarchives.gov.uk/20200930155453/https://epsrc.ukri.org/newsevents/news/aionlinedating/), an invited talk (Cambridge Computer Laboratory, 2019) and has attracted media interest (e.g., The Register <https://www.theregister.com/2019/05/31/ai_software_catfishing/>). Expertise developed during this work has contributed to the success of later funding bids, including the Home Office-funded AMoC project (£500k) and the UKRI funded REPHRAIN Centre (EP/V011189/1, £7 million).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -