@inproceedings{102ed059986044049f8dc2381b5681ab,
title = "Efficient Secure Cardinality Query Based on Private Set Intersection",
abstract = "With the development of cloud service technology, more and more organizations are attracted by its convenience and cost-effectiveness. However, it raises substantial security concerns, particularly around the secure execution of SQL state-ments on outsourced platforms. This paper delves into private set intersection (PSI) with an emphasis on cardinality(PSI-CA). We aim to propose a novel PSI-CA scheme, a two-party PSI protocol without the homomorphic encryption method. A highlight of our contribution is the introduction of an innovative oblivious pseudo-random function (OPRF) designed to minimize computational and communication burdens.",
keywords = "privacy, PSI, PSI-CA, query",
author = "Ruofan Li and Zhenfu Cao and Xiaolei Dong and Jiachen Shen and Yunbo Yang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd International Conference on Intelligent Control and Computing, IC-C 2024 ; Conference date: 29-03-2024 Through 31-03-2024",
year = "2024",
doi = "10.1109/IC-C62826.2024.00011",
language = "英语",
series = "Proceedings - 2024 2nd International Conference on Intelligent Control and Computing, IC-C 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "25--31",
booktitle = "Proceedings - 2024 2nd International Conference on Intelligent Control and Computing, IC-C 2024",
address = "美国",
}