Role-Based Access Control Models
Computer
A role-based delegation framework for healthcare information systems
SACMAT '02 Proceedings of the seventh ACM symposium on Access control models and technologies
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Role-Based Access Control for Grid Database Services Using the Community Authorization Service
IEEE Transactions on Dependable and Secure Computing
An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 02
Developing a security protocol for a distributed decision support system in a healthcare environment
Proceedings of the 30th international conference on Software engineering
Adaptive Agent Model: Software Adaptivity using an Agent-oriented Model-Driven Architecture
Information and Software Technology
RBAC for Organisation and Security in an Agent Coordination Infrastructure
Electronic Notes in Theoretical Computer Science (ENTCS)
A lightweight coordination calculus for agent systems
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
Annals of Mathematics and Artificial Intelligence
Probing attacks on multi-agent systems using electronic institutions
DALT'11 Proceedings of the 9th international conference on Declarative Agent Languages and Technologies
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Distributed decision support systems designed for healthcare use can benefit from services and information available across a decentralised environment. The sophisticated nature of collaboration among involved partners who contribute services or sensitive data in this paradigm, however, demands careful attention from the beginning of designing such systems. Apart from the traditional need of secure data transmission across clinical centres, a more important issue arises from the need of consensus for access to system-wide resources by separately managed user groups from each centre. A primary concern is the determination of interactive tasks that should be made available to authorised users, and further the clinical resources that can be populated into interactions in compliance with user clinical roles and policies. To this end, explicit interaction modelling is put forward along with the contextual constraints within interactions that together enforce secure access, the interaction participation being governed by system-wide policies and local resource access being governed by node-wide policies. Clinical security requirements are comprehensively analysed, prior to the design and building of our security model. The application of the approach results in a Multi-Agent System driven by secure interaction models. This is illustrated using a prototype of the HealthAgents system.