Nurse, Jason R. C., Erola, Arnau, Gibson-Robinson, Thomas, Goldsmith, Michael, Creese, Sadie (2016) Analytics for characterising and measuring the naturalness of online personae. Security Informatics Journal, 5 (3). Article Number 3. ISSN 2190-8532. (doi:10.1186/s13388-016-0028-1) (KAR id:67486)
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Abstract
Currently 40 % of the world’s population, around 3 billion users, are online using cyberspace for everything from work to pleasure. While there are numerous benefits accompanying this medium, the Internet is not without its perils. In this case study article, we focus specifically on the challenge of fake (or unnatural) online identities, such as those used to defraud people and organisations, with the aim of exploring an approach to detect them.
| Item Type: | Article |
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| DOI/Identification number: | 10.1186/s13388-016-0028-1 |
| Uncontrolled keywords: | Identity securityIdentity theft and fraudDetection approachesData analytics and metrics |
| Subjects: |
Q Science T Technology |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Depositing User: | Jason Nurse |
| Date Deposited: | 03 Jul 2018 14:25 UTC |
| Last Modified: | 05 Nov 2024 11:07 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/67486 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Nurse, Jason R. C..
| Creator's ORCID: |
 https://orcid.org/0000-0003-4118-1680
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