Computing and Information Systems - Research Publications

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    Single sign-on and authorization for dynamic virtual organizations
    Sinnott, R. O. ; Ajayi, O. ; Stell, A. J. ; Watt, J. ; JIANG, J. (Springer, 2006)
    The vision of the Grid is to support the dynamic establishment and subsequent management of virtual organizations (VO). To achieve this presents many challenges for the Grid community with perhaps the greatest one being security. Whilst Public Key Infrastructures (PKI) provide a form of single sign-on through recognition of trusted certification authorities, they have numerous limitations. The Internet2 Shibboleth architecture and protocols provide an enabling technology overcoming some of the issues with PKIs however Shibboleth too suffers from various limitations that make its application for dynamic VO establishment and management difficult. In this paper we explore the limitations of PKIs and Shibboleth and present an infrastructure that incorporates single sign-on with advanced authorization of federated security infrastructures and yet is seamless and targeted to the needs of end users. We explore this infrastructure through an educational case study at the National e-Science Centre (NeSC) at the University of Glasgow and Edinburgh.
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    Development of usable grid services for the biomedical community
    SINNOTT, RICHARD ( 2006)
    The BRIDGES project was funded by the UK Department of Trade and Industry to directly address the needs of the cardiovascular research scientists investigating the genetic causes of hypertension as part of the Wellcome Trust funded (£4.34M) Cardiovascular Functional Genomics (CFG) project. Specifically, the BRIDGES project developed a compute Grid and a data Grid with security at its heart. This paper presents the experiences in developing usable Grid services for the bio-community and the different phases of prototypes that were refined based upon user requirements and feedback.
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    Supporting security-oriented, inter-disciplinary research: crossing the social, clinical and geospatial domains
    Sinnott, R ; Doherty, T ; Higgins, C ; Lambert, P ; McCafferty, S ; Stell, A ; Turner, K ; Watt, J (UK e-Science All Hands Meeting, 2008)
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    User oriented access to secure biomedical resources through the grid
    Sinnott, R ; Ajayi, O ; Jiang, J ; Stell, A ; Watt, J (Life Science Grid Conference, 2006)
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    Trust realisation in collaborative clinical trials systems
    Ajayi, O ; Sinnott, R ; Stell, A (British Computer Society, 2007)
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    Formalising dynamic trust negotiations in decentralised collaborative e-health systems
    Ajayi, Oluwafemi ; SINNOTT, RICHARD ; STELL, ANTHONY (IEEE Computer Society, 2007)
    Access control in decentralised collaborative systems present huge challenges especially where many autonomous entities including organizations, humans, software agents from different security domains seek to access and share resources in a secure and controlled way. Automated trust negotiation (ATN) is one approach that has been proposed for trust discovery and realisation, which enables entities viz. Strangers to access resources across autonomous boundaries through iterative exchange of credentials. Various negotiation strategies have been proposed to protect credential disclosure during trust negotiations. However in some domains such as e-health, not all entities are willing to negotiate credentials or disclose access policies directly to strangers regardless of negotiation strategies and instead prefer to negotiate and disclose sensitive information only to strangers within what we refer to as a circle of trust. In this paper, we introduce a formal model to describe how locally trusted intermediary parties can provide multiple negotiation and delegations hops to protect credentials and access policies. We propose a dynamic trust negotiations (DTN) model that not only protects sensitive information from disclosure but also reduces semantic issues that exist with credentials in decentralized systems. This work is currently being explored and implemented within the e-health domain: specifically in the MRC-funded Virtual Organisation for Trials of Epidemiological Studies (VOTES) project.
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    From access and integration to mining of secure genomic data sets across the grid
    Sinnott, Richard O. (Elsevier, 2007)
    The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to support cardiovascular research. This includes the provision of a compute Grid and a data Grid infrastructure with security at its heart. In this paper we focus on the BRIDGES data Grid. A primary aim of the BRIDGES data Grid is to help control the complexity in access to and integration of a myriad of genomic data sets through simple Grid based tools. We outline these tools, how they are delivered to the end user scientists. We also describe how these tools are to be extended in the BBSRC funded Grid Enabled Microarray Expression Profile Search (GEMEPS) to support a richer vocabulary of search capabilities to support mining of microarray data sets. As with BRIDGES, fine grain Grid security underpins GEMEPS.
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    User-oriented security supporting inter-disciplinary life science research across the grid
    Sinnott, R ; Ajayi, O ; Jiang, J ; Stell, A ; Watt, J (SPRINGER, 2007)
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    Secure, performance-oriented data management for nanoCMOS Electronics
    Sinnott, RO ; Bayliss, C ; Davenhall, C ; Harbulot, B ; Jones, M ; Millar, C ; Roy, G ; Roy, S ; Stewart, G ; Watt, J ; Asenov, A (IEEE, 2008-12-01)
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    A clinical grid infrastructure supporting adverse hypotensive event prediction
    STELL, ANTHONY ; SINNOTT, RICHARD ; Jiang, Jipu (IEEE Computer Society, 2009)
    The condition of hypotension - where a person's arterial blood pressure drops to an abnormally low level - is a common and potentially fatal occurrence in patients under intensive care. As medical interventions to treat such events are typically reactive and often aggressive, there would be great benefit in having a prediction system that can warn health-care professionals of an impending event and thereby allow them to provide non-invasive, preventative treatments. This paper describes the progress of the EU FP7 funded Avert-IT project, which is developing just such a system using Bayesian neural network learning technology based upon an integrated, real-time data grid infrastructure, which draws together heterogeneous data-sets from six clinical centres across Europe.