A secure collaboration service for dynamic virtual organizations

  • Authors:

  • Jianxin Li;Jinpeng Huai;Chunming Hu;Yanmin Zhu

  • Affiliations:

  • School of Computer Science & Engineering, Beihang University, Beijing, China;School of Computer Science & Engineering, Beihang University, Beijing, China;School of Computer Science & Engineering, Beihang University, Beijing, China;Department of Computer Science & Technology, Shanghai JiaoTong University, Shanghai, China

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2010

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Abstract

Nowadays, various promising paradigms of distributed computing over the Internet, such as Grids, P2P and Clouds, have emerged for resource sharing and collaboration. To enable resources sharing and collaboration across different domains in an open computing environment, virtual organizations (VOs) often need to be established dynamically. However, the dynamic and autonomous characteristics of participating domains pose great challenges to the security of virtual organizations. In this paper, we propose a secure collaboration service, called PEACE-VO, for dynamic virtual organizations management. The federation approach based on role mapping has extensively been used to build virtual organizations over multiple domains. However, there is a serious issue of potential policy conflicts with this approach, which brings a security threat to the participating domains. To address this issue, we first depict concepts of implicit conflicts and explicit conflicts that may exist in virtual organization collaboration policies. Then, we propose a fully distributed algorithm to detect potential policy conflicts. With this algorithm participating domains do not have to disclose their full local privacy policies, and is able to withhold malicious internal attacks. Finally, we present the system architecture of PEACE-VO and design two protocols for VO management and authorization. PEACE-VO services and protocols have successfully been implemented in the CROWN test bed. Comprehensive experimental study demonstrates that our approach is scalable and efficient.