Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Scheduling Distributed Applications: the SimGrid Simulation Framework
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Simulation of Dynamic Data Replication Strategies in Data Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
SHARP: an architecture for secure resource peering
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Adaptive Peer-to-Peer Topologies
P2P '04 Proceedings of the Fourth International Conference on Peer-to-Peer Computing
Grid's confidential outsourcing of string matching
SEPADS'07 Proceedings of the 6th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
Building a demilitarized zone with data encryption for grid environments
Proceedings of the first international conference on Networks for grid applications
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The grid computing paradigm involves both the availability of abundant computing resources, and the storage of increased amounts of valuable data. Such information systems heavily rely upon the provision of adequate security. It is imperative that techniques be developed to assure the trustworthiness of these environments. Formal verification provides the tools and techniques to assess whether systems are indeed trustworthy, and is an established approach for security assurance. When using formal verification for security assessment one of the most important concerns should be to be precise about the threat model. A comprehensive threat model is indispensable for the simulations of a grid security model. This article presents a survey of the various threat models and discusses how and when these threat models may be inappropriate for use in the grid computing environments. Then a fine-grained threat model for grid computing is presented.