Approaches on Personal Data Privacy Preserving in Cloud: A Survey

In "Big Data" era nowadays, more and more people worry about privacy issues, because personal data is collected, processed, and analyzed by various organizations continuously. This paper, first of all, argues the privacy issues in cloud that is widely adopted to process big data, and illustrates some challenges on traditional methods of privacy preserving in big data. Then, it groups some existing solutions into three types: encryption-based, anonymization-based, and differential privacy based, and makes a widely survey on each type. Lastly, a comparison has been made to show the performance of each type against the research challenges identified in this paper.