@inproceedings{4af413fe0bf5444d9cb505123e7bbbac,
title = "A lightweight delegated private set intersection in the internet setting for the cloud computing environments",
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.",
keywords = "Cloud computing, Oblivious transfer, Private set intersection, Secure computation",
author = "Lei Luo and Xiaolei Dong and Jiachen Shen and Zhenfu Cao",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE.; 3rd International Conference on Computer Vision and Data Mining, ICCVDM 2022 ; Conference date: 19-08-2022 Through 21-08-2022",
year = "2023",
doi = "10.1117/12.2661220",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tao Zhang and Ting Yang",
booktitle = "Third International Conference on Computer Vision and Data Mining, ICCVDM 2022",
address = "美国",
}