Digital Footprints: Your Unique Identity

Research output: Contribution to conferencePaper

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Abstract

In the digital age where Human Computer Interaction is creating large and entirely unique digital footprints, online accounts and activities can prove to be a valuable source of information that may contribute to verification that an asserted identity is genuine. Online social contextual data – or ‘Digital identities’ -- pertaining to real people are built over time and bolstered by associated accounts, relationships and attributes. This data is difficult to fake and therefore may have the capacity to provide proof of a ‘real’ identity. This paper outlines the design and initial development of a solution that utilizes data sourced from an individual’s digital footprint to assess the likelihood that it pertains to a ‘real’ identity. This is achieved through application of machine learning and Bayesian probabilistic modelling techniques.
Original languageEnglish
Pages1-4
Number of pages4
Publication statusPublished - 3 Jul 2018
EventBCS, The Chartered Institute for IT (ACM Proceedings)
32nd Human Computer Interaction Conference
- Northern Ireland, Belfast, United Kingdom
Duration: 2 Jul 20186 Jul 2018
http://hci2018.bcs.org/

Conference

ConferenceBCS, The Chartered Institute for IT (ACM Proceedings)
32nd Human Computer Interaction Conference
Abbreviated titleBHCI 2018
CountryUnited Kingdom
CityBelfast
Period2/07/186/07/18
Internet address

Keywords

  • Identity
  • authentication
  • digital footprint
  • Privacy
  • Security

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  • Cite this

    Blue, J., Condell, J., & Lunney, T. (2018). Digital Footprints: Your Unique Identity . 1-4. Paper presented at BCS, The Chartered Institute for IT (ACM Proceedings)
    32nd Human Computer Interaction Conference, Belfast, United Kingdom.