TAPESTRY

A Blockchain based Service for Trusted Interaction Online

Yifan Yang, Daniel Cooper, John Collomosse, Constantin C. Drăgan, Mark Manulis, Jamie Steane, Arthi Manohar, Jo Briggs, Helen Jones, Wendy Moncur

Research output: Contribution to journalArticle

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Abstract

We present a novel blockchain based 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
JournalarXiv
Publication statusPublished - 15 May 2019

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Visualization
Deep learning

Keywords

  • cs.CR
  • cs.DC

Cite this

Yang, Y., Cooper, D., Collomosse, J., Drăgan, C. C., Manulis, M., Steane, J., ... Moncur, W. (2019). TAPESTRY: A Blockchain based Service for Trusted Interaction Online. arXiv.
Yang, Yifan ; Cooper, Daniel ; Collomosse, John ; Drăgan, Constantin C. ; Manulis, Mark ; Steane, Jamie ; Manohar, Arthi ; Briggs, Jo ; Jones, Helen ; Moncur, Wendy. / TAPESTRY : A Blockchain based Service for Trusted Interaction Online. In: arXiv. 2019.
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title = "TAPESTRY: A Blockchain based Service for Trusted Interaction Online",
abstract = "We present a novel blockchain based 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.",
keywords = "cs.CR, cs.DC",
author = "Yifan Yang and Daniel Cooper and John Collomosse and Drăgan, {Constantin C.} and Mark Manulis and Jamie Steane and Arthi Manohar and Jo Briggs and Helen Jones and Wendy Moncur",
note = "Submitted to IEEE TSC Special Issue on Blockchain Services, May 2019 TAPESTRY is funded by EPSRC Grant Ref: EP/N02799X/1 under the UKRI Digital Economy Programme",
year = "2019",
month = "5",
day = "15",
language = "English",

}

Yang, Y, Cooper, D, Collomosse, J, Drăgan, CC, Manulis, M, Steane, J, Manohar, A, Briggs, J, Jones, H & Moncur, W 2019, 'TAPESTRY: A Blockchain based Service for Trusted Interaction Online', arXiv.

TAPESTRY : A Blockchain based Service for Trusted Interaction Online. / Yang, Yifan; Cooper, Daniel; Collomosse, John; Drăgan, Constantin C.; Manulis, Mark; Steane, Jamie; Manohar, Arthi; Briggs, Jo; Jones, Helen; Moncur, Wendy.

In: arXiv, 15.05.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - TAPESTRY

T2 - A Blockchain based Service for Trusted Interaction Online

AU - Yang, Yifan

AU - Cooper, Daniel

AU - Collomosse, John

AU - Drăgan, Constantin C.

AU - Manulis, Mark

AU - Steane, Jamie

AU - Manohar, Arthi

AU - Briggs, Jo

AU - Jones, Helen

AU - Moncur, Wendy

N1 - Submitted to IEEE TSC Special Issue on Blockchain Services, May 2019 TAPESTRY is funded by EPSRC Grant Ref: EP/N02799X/1 under the UKRI Digital Economy Programme

PY - 2019/5/15

Y1 - 2019/5/15

N2 - We present a novel blockchain based 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.

AB - We present a novel blockchain based 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.

KW - cs.CR

KW - cs.DC

UR - https://arxiv.org/abs/1905.06186

M3 - Article

ER -

Yang Y, Cooper D, Collomosse J, Drăgan CC, Manulis M, Steane J et al. TAPESTRY: A Blockchain based Service for Trusted Interaction Online. arXiv. 2019 May 15.