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author:

Fan, C. (Fan, C..) [1] | Jia, P. (Jia, P..) [2] | Lin, M. (Lin, M..) [3] | Wei, L. (Wei, L..) [4] | Guo, P. (Guo, P..) [5] | Zhao, X. (Zhao, X..) [6] | Liu, X. (Liu, X..) [7]

Indexed by:

Scopus

Abstract:

With the development of cloud computing and big data, secure multi-party computation, which can collaborate with multiple parties to deal with a large number of transactions, plays an important role in protecting privacy. Private set intersection (PSI), a form of multi-party secure computation, is a formidable cryptographic technique that allows the sender and the receiver to calculate their intersection and not reveal any more information. As the data volume increases and more application scenarios emerge, PSI with multiple participants is increasingly needed. Homomorphic encryption is an encryption algorithm designed to perform a mathematical-style operation on encrypted data, where the decryption result of the operation is the same as the result calculated using unencrypted data. In this paper, we present a cloud-assisted multi-key PSI (CMPSI) system that uses fully homomorphic encryption over the torus (TFHE) encryption scheme to encrypt the data of the participants and that uses a cloud server to assist the computation. Specifically, we design some TFHE-based secure computation protocols and build a single cloud server-based private set intersection system that can support multiple users. Moreover, security analysis and performance evaluation show that our system is feasible. The scheme has a smaller communication overhead compared to existing schemes. © 2023 by the authors.

Keyword:

cloud computing homomorphic encryption multi-key TFHE privacy protection private set intersection

Community:

  • [ 1 ] [Fan C.]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, 100081, China
  • [ 2 ] [Fan C.]Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
  • [ 3 ] [Jia P.]School of Mathematics and Computer Science, Shanxi Normal University, Taiyuan, 030031, China
  • [ 4 ] [Lin M.]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, 100081, China
  • [ 5 ] [Lin M.]Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
  • [ 6 ] [Wei L.]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, 100081, China
  • [ 7 ] [Wei L.]Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
  • [ 8 ] [Guo P.]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, 100081, China
  • [ 9 ] [Guo P.]Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
  • [ 10 ] [Zhao X.]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, 100081, China
  • [ 11 ] [Zhao X.]Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
  • [ 12 ] [Liu X.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China

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Source :

Mathematics

ISSN: 2227-7390

Year: 2023

Issue: 8

Volume: 11

2 . 3

JCR@2023

2 . 3 0 0

JCR@2023

ESI HC Threshold:13

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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