Open Access
april 2010 Privacy-Preserving Distributed Algorithm for Sparse Vector Sum
Sheng Zhong
Bull. Belg. Math. Soc. Simon Stevin 17(2): 235-242 (april 2010). DOI: 10.36045/bbms/1274896202

Abstract

We study the following problem: $B_0$ and $B_1$ each has a sparse input vector $V_0$ and $V_1$; for each $j$ we need to decide whether $B_0[j]+B_1[j]>t$. We give a privacy-preserving algorithm, in which $B_0$ and $B_1$ do not need to reveal any information about their input vectors to each other, except the output of algorithm. Our algorithm is highly efficient.

Citation

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Sheng Zhong. "Privacy-Preserving Distributed Algorithm for Sparse Vector Sum." Bull. Belg. Math. Soc. Simon Stevin 17 (2) 235 - 242, april 2010. https://doi.org/10.36045/bbms/1274896202

Information

Published: april 2010
First available in Project Euclid: 26 May 2010

zbMATH: 1217.94113
MathSciNet: MR2663468
Digital Object Identifier: 10.36045/bbms/1274896202

Subjects:
Primary: 11T71 , 94A60

Keywords: cryptography , Distributed Algorithm , Sparse Vector

Rights: Copyright © 2010 The Belgian Mathematical Society

Vol.17 • No. 2 • april 2010
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