Privacy Preserving Data Aggregation on Secure Cloud

摘要

Secure Cloud is a cloud based data storage and computation service that works on Encrypted data without inferring any knowledge out of it. However on such secure cloud in order to perform Privacy Preserving analysis it is necessary to decrypt that data and then perform Privacy Preserving transformation. The proposed solution provides a way to perform Privacy Preserving transform on secure cloud without decrypting it. This is done by applying appropriate Differential Privacy techniques along with Homomorphic transform. The experimentation results done over the encrypted data are consistent with the utility-privacy trade-off in Differential Privacy approach on plaintext which states that the utility of data decreases as the privacy increases.