- Computing and Information Systems - Research Publications
Computing and Information Systems - Research Publications
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ItemSupporting security-oriented, inter-disciplinary research: crossing the social, clinical and geospatial domainsSinnott, 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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ItemTrust realisation in collaborative clinical trials systemsAjayi, O ; Sinnott, R ; Stell, A (British Computer Society, 2007)
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ItemFormalising dynamic trust negotiations in decentralised collaborative e-health systemsAjayi, 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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ItemA clinical grid infrastructure supporting adverse hypotensive event predictionSTELL, 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.