Privacy-Preserving Ciphertext Sharing Mechanism for Big Data Storage - 2015
The requirement of secure huge knowledge storage service is a lot of desirable than ever up to now. The basic requirement of the service is to ensure the confidentiality of the data. But, the anonymity of the service clients, one of the most essential aspects of privacy, ought to be thought of simultaneously. Moreover, the service additionally ought to offer practical and fine-grained encrypted knowledge sharing such that a knowledge owner is allowed to share a ciphertext of information among others underneath some specified conditions. This paper, for the primary time, proposes a privacy-preserving ciphertext multi-sharing mechanism to realize the above properties. It combines the deserves of proxy re-encryption with anonymous technique in which a ciphertext will be securely and conditionally shared multiple times without leaking each the data of underlying message and the identity information of ciphertext senders/recipients. Furthermore, this paper shows that the new primitive is secure against chosen-ciphertext attacks in the quality model.
Did you like this research project?
To get this research project Guidelines, Training and Code... Click Here
- On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications - 2015
- Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors - 2015