TAPESTRY: A De-centralized Service for Trusted Interaction Online

Yifan Yang (Lead / Corresponding author), Daniel Cooper, John Collomosse, Constantin C. Drăgan, Mark Manulis, Jamie Steane, Arthi Manohar, Jo Briggs, Helen Jones, Wendy Moncur

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We present a novel de-centralised service for proving the provenance of online digital identity, exposed as an assistive tool to help non-expert users make better decisions about whom to trust online. Our service harnesses the digital personhood (DP); the longitudinal and multi-modal signals created through users’ lifelong digital interactions, as a basis for evidencing the provenance of identity. We describe how users may exchange trust evidence derived from their DP, in a granular and privacy-preserving manner, with other users in order to demonstrate coherence and longevity in their behaviour online. This is enabled through a novel secure infrastructure combining hybrid on- and off-chain storage combined with deep learning for DP analytics and visualization. We show how our tools enable users to make more effective decisions on whether to trust unknown third parties online, and also to spot behavioural deviations in their own social media footprints indicative of account hijacking.
Original languageEnglish
Number of pages14
JournalIEEE Transactions on Services Computing
Early online date7 May 2020
Publication statusE-pub ahead of print - 7 May 2020


  • Artificial Intelligence
  • Decentralised Trust
  • Interaction Design
  • Online Identity


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