4.6 Article

A lightweight delegated private set intersection cardinality protocol

Journal

COMPUTER STANDARDS & INTERFACES
Volume 87, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.csi.2023.103760

Keywords

Privacy computing; PSI cardinality; Oblivious PRF; Delegated computing; Contact tracing

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This paper proposes a lightweight delegated PSI-CA protocol based on multi-point oblivious pseudorandom function and collision-resistant hash function, and utilizes it to build a privacy-preserving contact tracing system. Experimental results show that our system is more practical and advantageous for densely populated areas.
Secure multiparty computation (MPC) is an important means to realize privacy computing (PC). Private set intersection cardinality (PSI-CA) is a variant of an important problem in MPC research, that is private set intersection. PSI-CA allows multiple participants jointly compute the size of the common intersection of their private sets through interaction without revealing any other information about their respective sets. Delegated PSI-CA delegates a large number of computing in the protocol to some untrusted cloud servers, which makes the protocol efficient. Delegated PSI-CA is considered to be of great significance for the construction of privacy -preserving contact tracing systems recently. However, the existing work is still not ideal for the resource-limited mobile terminal of clients. In this paper, we propose a lightweight delegated PSI-CA protocol based on multi -point oblivious pseudorandom function and collision-resistant hash function. Our protocol does not need to do additional pre-operations, so the computation complexity and the communication complexity on the client side are further reduced compare to the existing works. In addition, we build a privacy-preserving contact tracing system by utilizing our protocol, which can be publicly checked if necessary, named PC-CONTrace. The experimental results show that our system is more practical and advantageous for densely populated areas.

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