HRSE: A novel high-speed random sampling encryption scheme on big data
Junru Peng, Heng Xu, Jun Song · 2021
The security and privacy protection of big data have attracted lots of attentions in recent years. The volume characteristic of big data puts forward the higher requirements in terms of encryption speed and processing performance. Existing data encryption schemes usually bring huge computing overhead, and it is difficult to guarantee the confidentiality of big data. In this paper, we propose an improved random sampling encryption scheme, which can realize a high-speed random sampling encryption and provide sufficient security for big data. A comprehensive evaluation, including security analysis and efficiency analysis, is presented to show the security and feasibility of the proposed scheme.