Reputation-based trust management in cloud using a trusted third party

Database-as-a-service (DBaaS) is a trend allowing organizations to outsource their databases and computations to external parties. However, despite the many advantages provided by this service in terms of cost reduction and efficiency, DBaaS raises many security issues regarding data privacy and access control. The protection of privacy has been addressed by several research contributions proposing efficient solutions such as encrypted databases and blind queries over encrypted data, called blind processing. In this latter context, almost all proposed schemes consider an architecture of a single user (the data owner) that requests the database server for encrypted records while he is the only one capable of decrypting. From a practical perspective, a database system is set up to support not only a single user but multiple users initiating multiple queries. However, managing various accesses to an encrypted database introduces several challenges by itself, like key sharing, key revocation, and data re-encryption. In this article, we propose a simple and efficient blind processing protocol that allows multiple users to query the same encrypted data and decrypt the retrieved results without getting access to the secret key.

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Reputation-based trust management in cloud using a trusted third party

Cited by 4 publications

References 14 publications

A novel cloud management framework for trust establishment and evaluation in a federated cloud environment

A novel cloud management framework for trust establishment and evaluation in a federated cloud environment

Computational Intelligence Towards Trusted Cloudlet Based Fog Computing

An End to End Cloud Computing Privacy Framework Using Blind Processing

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