Developing A Requirements Specification For A Web Service Application
RE '04 Proceedings of the Requirements Engineering Conference, 12th IEEE International
Web Service Discovery and Composition using USDL
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Web Service Testing Method Based on Fault-coverage
EDOCW '06 Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops
An Approach to Automated Agent Deployment in Service-Based Systems
ISORC '07 Proceedings of the 10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing
Risk Evaluation for Personal Identity Management Based on Privacy Attribute Ontology
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
A Privacy Preserving Repository for Data Integration across Data Sharing Services
IEEE Transactions on Services Computing
A client-based privacy manager for cloud computing
Proceedings of the Fourth International ICST Conference on COMmunication System softWAre and middlewaRE
Classification of Security Issues and Solutions in Cloud Environments
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Current cloud computing systems pose serious limitation to protecting users' data confidentiality. Since users' sensitive data is presented in unencrypted forms to remote machines owned and operated by third party service providers, the risks of unauthorized disclosure of the users' sensitive data by service providers may be quite high. There are many techniques for protecting users' data from outside attackers, but currently no effective way is available for protecting users' sensitive data from service providers in cloud computing. In this paper, an approach is presented to protecting the confidentiality of users' data from service providers, and ensures service providers cannot collect users' confidential data while the data is processed and stored in cloud computing systems. Our approach has three major aspects: (1) separating software service providers and infrastructure service providers in cloud computing, (2) hiding information about the owners of data, and (3) data obfuscation. An example to show how our approach can protect the confidentiality of users' data from service providers in cloud computing is given.