Sharing data and analytical resources securely in a biomedical research Grid environment
- PMID: 18308979
- PMCID: PMC2409996
- DOI: 10.1197/jamia.M2662
Sharing data and analytical resources securely in a biomedical research Grid environment
Abstract
Objectives: To develop a security infrastructure to support controlled and secure access to data and analytical resources in a biomedical research Grid environment, while facilitating resource sharing among collaborators.
Design: A Grid security infrastructure, called Grid Authentication and Authorization with Reliably Distributed Services (GAARDS), is developed as a key architecture component of the NCI-funded cancer Biomedical Informatics Grid (caBIG). The GAARDS is designed to support in a distributed environment 1) efficient provisioning and federation of user identities and credentials; 2) group-based access control support with which resource providers can enforce policies based on community accepted groups and local groups; and 3) management of a trust fabric so that policies can be enforced based on required levels of assurance.
Measurements: GAARDS is implemented as a suite of Grid services and administrative tools. It provides three core services: Dorian for management and federation of user identities, Grid Trust Service for maintaining and provisioning a federated trust fabric within the Grid environment, and Grid Grouper for enforcing authorization policies based on both local and Grid-level groups.
Results: The GAARDS infrastructure is available as a stand-alone system and as a component of the caGrid infrastructure. More information about GAARDS can be accessed at http://www.cagrid.org.
Conclusions: GAARDS provides a comprehensive system to address the security challenges associated with environments in which resources may be located at different sites, requests to access the resources may cross institutional boundaries, and user credentials are created, managed, revoked dynamically in a de-centralized manner.
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References
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- Saltz J, Oster S, Hastings S, Langella S, Kurc T, Sanchez W, et al. caGrid: Design and Implementation of the Core Architecture of the Cancer Biomedical Informatics Grid Bioinform 2006;22(15):1910-1916. - PubMed
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- Foster I, Czajkowski K, Ferguson DF, Frey J, Graham S, Maguire T. Modeling and Managing State in Distributed Systems: The Role of OGSI and WSRF Proceedings of IEEE 2005;93(3):604-612.
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