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      Digital Footprints: Your Unique Identity

      , ,

      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Identity, Authentication, Digital Footprint, Privacy, Security

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

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          Most cited references 5

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          “The use of the dark web for the purpose of illegal activity spreading”

           Z. Spalevic,  M Ilic (2017)
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            • Record: found
            • Abstract: not found
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            “Bayesian techniques for location estimation”

             D Fox,  J. HIGHTOWER,  H. Kauz (2020)
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              “Probability”

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-5
                Affiliations
                University of Ulster

                Derry, Northern Ireland, UK

                boyle-j2@ulster.ac.uk
                Article
                10.14236/ewic/HCI2018.173
                © Blue et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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