Fuzzy Labeled Private Set Intersection Protocol
Year: 2024
Type: article
Abstract: Fuzzy labeled private set intersection(FLPSI) is a variant of PSI where the elements in the sender’s and receiver’s sets are not the same but rather have some similarities.Each element in the sender’s set is associated with a label,and the receiver only receives the labels of the matched elements and without revealing other information.Most existing FLPSI protocols use Hamming distance to determine the degree of matching between binary vectors.These protocols are built based on expensive public key ciphers,which requiring high computation overhead and resulting in slow running time.This paper proposes an efficient FLPSI protocol based on symmetric cryptography.It proves the security of the PSI protocol in the semi-honest model,ensuring that participants cannot obtain additional data.Compared to the existing schemes,the protocol reduces the overall communication complexity and the computational complexity of the sender from O(n2) to O(n).Through experimental simulation,in balanced scenarios,the proposed protocol is 3~10x faster than the existing FLPSI protocol,and the communication is reduced by 89% to 95%.In unbalanced scenarios,the proposed protocol is 7~10x faster than the existing FLPSI protocol,and it also exhibits ob-vious advantages over similar fuzzy matching protocols.In addition,the application of FLPSI protocol in face recognition under privacy protection conditions is designed,which can meet the requirements of different scenarios by adjusting parameters.
Author: CHENG Enze, ZHANG Lei, WEI Lifei
Institutions: Shanghai Ocean University, Shanghai Maritime University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084115428
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