Superidentity: Fusion of Identity across Real and Cyber Domains

Black, Sue and Creese, Sadie and Guest, Richard and Pike, Bill and Saxby, Steve J. and Stanton Fraser, Danae and Stevenage, Sarah V. and Whitty, Monica T. (2012) Superidentity: Fusion of Identity across Real and Cyber Domains. In: The Global Forum on Identity, , 23 - 24 Apr 2012, Austin, US,. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Abstract

Under both benign and malign circumstances, people now manage a spectrum of identities across both real-world and cyber domains. Our belief, however, is that all these instances ultimately track back for an individual to reflect a single ‘SuperIdentity’. This paper outlines the assumptions underpinning the SuperIdentity Project, describing the innovative use of data fusion to incorporate novel real-world and cyber cues into a rich framework appropriate for modern identity. The proposed combinatorial model will support a robust identification or authentication decision, with confidence indexed both by the level of trust in data provenance, and the diagnosticity of the identity factors being used. Additionally, the exploration of correlations between factors may underpin the more intelligent use of identity information so that known information may be used to predict previously hidden information. With modern living supporting the ‘distribution of identity’ across real and cyber domains, and with criminal elements operating in increasingly sophisticated ways in the hinterland between the two, this approach is suggested as a way forwards, and is discussed in terms of its impact on privacy, security, and the detection of threat

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Black, S.M., Creese, S., Guest, R.M., Pike, B., Saxby, S.J., Stanton Fraser, D., Stevenage, S.V. and Whittty, M.T
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 31 Oct 2013 09:46 UTC
Last Modified: 21 May 2014 13:50 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35856 (The current URI for this page, for reference purposes)
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