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Analytics for characterising and measuring the naturalness of online personae

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). ISSN 2190-8532. (doi:10.1186/s13388-016-0028-1)

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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
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: Faculties > Sciences > School of Computing > Security Group
Depositing User: Jason Nurse
Date Deposited: 03 Jul 2018 14:25 UTC
Last Modified: 13 Jan 2020 13:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67486 (The current URI for this page, for reference purposes)
Nurse, Jason R. C.: https://orcid.org/0000-0003-4118-1680
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