A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]
Proceedings of the 4th ACM conference on Electronic commerce
An adaptive probabilistic trust model and its evaluation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
SLA-Based Trust Model for Cloud Computing
NBIS '10 Proceedings of the 2010 13th International Conference on Network-Based Information Systems
Application-Oriented Remote Verification Trust Model in Cloud Computing
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
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The objective of the research work is to propose an adaptive trust model applicable for software services deployed in cloud environment. In the earlier security modeling of cloud based applications, the trust among various services are evaluated either based on Bayesian or fuzzy approaches which are not formally verified before composition. The reputations of the constituent domain specific services are evaluated to determine the overall trust of the demanded service assuming other infrastructure and platform services. The trust relation is migrated between various virtual services in the case of emergent termination or cancellation of the customer demand. The temporal nature of the concurrent service activation and their composition processes are synchronized for each session to complete within the expected time using a Pay First Serve Next (PFSN) technique. The model is formally specified and verified using Temporal Logic of Action (TLA+) and the adapting trust level is evaluated for a SMS Cloud Service Deployment.