Role-based access management for ad-hoc collaborative sharing

Jing Jin, Gail Joon Ahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations


Under scientific collaborations, resource sharing tends to be highly dynamic and often ad hoc. The dynamic characteristics and sharing patterns of ad-hoc collaborative sharing impose a need for comprehensive and flexible approaches to reflect and cope with the unique access control requirements associated with the ad-hoc collaboration. In this paper, we propose a role-based access management framework to enable secure resource sharing, especially focusing on the digital information sharing in the heterogeneous scientific collaboration environments. Our framework incorporates role-based approach to address distributed access control, delegation and dissemination control involved in the resource sharing within such environments. A set of XACML-based policy schemas is proposed to specify policies on our framework. To demonstrate the feasibility of our framework, we design and implement a proof-of-concept prototype system called ShareEnabler, which is based on a peer-to-peer information sharing toolkit developed by Lawrence Berkeley National Laboratory.

Original languageEnglish (US)
Title of host publicationSACMAT 2006
Subtitle of host publicationProceedings of the Eleventh ACM Symposium on Access Control Models and Technologies
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Print)1595933549, 9781595933546
StatePublished - 2006
Externally publishedYes
Event11th ACM Symposium on Access Control Models and Technologies, SACMAT 2006 - Lake Tahoe, CA, United States
Duration: Jun 7 2006Jun 9 2006

Publication series

NameProceedings of ACM Symposium on Access Control Models and Technologies, SACMAT


Conference11th ACM Symposium on Access Control Models and Technologies, SACMAT 2006
Country/TerritoryUnited States
CityLake Tahoe, CA


  • Access control
  • Ad-hoc collaboration
  • Information sharing
  • XACML-based policy framework

ASJC Scopus subject areas

  • Computer Science(all)


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