Viduto, V, Djemame, K, Townend, PM et al. (9 more authors) (2014) Trust and Risk Relationship Analysis on a Workflow Basis: A Use Case. In: ICIMP 2014 The Ninth International Conference on Internet Monitoring and Protection. Ninth International Conference on Internet Monitoring and Protection, 20-24 Jul 2014, Paris, France. International Academy, Research, and Industry Association ( IARIA ) , pp. 7-12. ISBN 9781634390071
Abstract
Trust and risk are often seen in proportion to each other; as such, high trust may induce low risk and vice versa. However, recent research argues that trust and risk relationship is implicit rather than proportional. Considering that trust and risk are implicit, this paper proposes for the first time a novel approach to view trust and risk on a basis of a W3C PROV provenance data model applied in a healthcare domain. We argue that high trust in healthcare domain can be placed in data despite of its high risk, and low trust data can have low risk depending on data quality attributes and its provenance. This is demonstrated by our trust and risk models applied to the BII case study data. The proposed theoretical approach first calculates risk values at each workflow step considering PROV concepts and second, aggregates the final risk score for the whole provenance chain. Different from risk model, trust of a workflow is derived by applying DS/AHP method. The results prove our assumption that trust and risk relationship is implicit.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 International Academy, Research, and Industry Association (IARIA) |
Keywords: | trust; risk model; provenance; decision support; workflow; DS/AHP |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Funding Information: | Funder Grant number Innovate UKfka Technology Strategy Board (TSB) 1926-19253 Rolls Royce Plc . Operating Account 400209 |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jun 2016 11:30 |
Last Modified: | 04 Nov 2016 01:57 |
Published Version: | http://toc.proceedings.com/23122webtoc.pdf |
Status: | Published |
Publisher: | International Academy, Research, and Industry Association ( IARIA ) |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89157 |