A lightweight delegated private set intersection in the internet setting for the cloud computing environments

Lei Luo; Xiaolei Dong; Jiachen Shen; Zhenfu Cao

doi:10.1117/12.2661220

3 February 2023 A lightweight delegated private set intersection in the internet setting for the cloud computing environments

Lei Luo, Xiaolei Dong, Jiachen Shen, Zhenfu Cao

Author Affiliations +

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125112E (2023) https://doi.org/10.1117/12.2661220
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

Due to the storage and computing ability of cloud technology, many protocols are suitable for deployment on cloud servers. Private set intersection (PSI) is practical technology in data mining, similar document detection and so on. In some cloud-based IoT system and mobile devices have poor ability to calculate the intersection. In this scenario, we design a protocol make the part of the computing intersection execute on the cloud server, called Efficient-DPSI, which supports flexible parameters. Experimental results show that our Efficient-DPSI protocol is more efficient with existing related delegated PSI protocols.

Citation Download Citation

Lei Luo, Xiaolei Dong, Jiachen Shen, and Zhenfu Cao "A lightweight delegated private set intersection in the internet setting for the cloud computing environments", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125112E (3 February 2023); https://doi.org/10.1117/12.2661220

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