A composite-service authorization prediction platform for grid environment

  • Authors:
  • Chuanjiang Yi;Hai Jin;Sheng Di

  • Affiliations:
  • Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

  • Venue:
  • CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
  • Year:
  • 2007

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Abstract

in workflow and grid environment, the security challenges with the appearance of composite service increasingly become more severe than before especially to the traditional static access control model and dynamic authorization model. To solve these challenges, we presented a Dynamic Access Control Prediction mechanism for service workflow on the basis of Markov Chain. in fact, this prediction mechanism is only one part of the larger system, Composite-Service Authorization Prediction platform (CAP), which is totally composed of three key modules -- composite-service pre-processing, result feedback, and authorization prediction. in this paper, we present the design of its architecture as a whole.