Privacy-preserving quantum multi-party computation based on circular structure

被引：5

作者：

Deng, Zhiliang ^{[1
,2
]}

Zhang, Ying ^{[1
]}

Zhang, Xiaorui ^{[3
]}

Li, Lingling ^{[4
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Automat, Nanjing 210044, Jiangsu, Peoples R China

[2] Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing 210044, Jiangsu, Peoples R China

[3] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China

[4] SAP Amer, Prod & Innovat, San Ramon, CA 94583 USA

来源：

JOURNAL OF INFORMATION SECURITY AND APPLICATIONS | 2019年 / 47卷

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

Secure multi-party computation; Privacy-preserving quantum multi-party computation; Circle structure; Data calculation; SEALED-BID AUCTION; COMPARISON PROTOCOL; ARBITRARY QUBIT; IMPROVEMENT; COMMITMENT; EFFICIENT; STATES;

D O I：

10.1016/j.jisa.2019.04.011

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Secure multi-party computation (SMC) is a collaborative computation problem that protects privacies among a group of distrustful participants. In this paper, a privacy-preserving quantum multi-party computation scheme based on circular structure is presented. In the scheme, each participant implements a certain quantum operation (i.e., a specific function) on the quantum state, and hands the result state to the next participant. Until the first participant receives the quantum state from the last participant and measures the state to get the result of the data calculation, the circle ends. We also analyze the security and efficiency of the scheme, and demonstrate the possibility of utilizing the scheme to solve some statistical calculation problems. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：120 / 124

页数：5

共 50 条

[1] Privacy-Preserving Query Processing by Multi-Party Computation
Sepehri, Maryam
Cimato, Stelvio
Damiani, Ernesto
[J]. COMPUTER JOURNAL, 2015, 58 (10): : 2195 - 2212
[2] Secure Multi-Party Computation-Based Privacy-Preserving Authentication for Smart Cities
Sucasas, Victor
Aly, Abdelrahaman
Mantas, Georgios
Rodriguez, Jonathan
Aaraj, Najwa
[J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2023, 11 (04) : 3555 - 3572
[3] Privacy-Preserving Secure Computation of Skyline Query in Distributed Multi-Party Databases †
Qaosar, Mahboob
Zaman, Asif
Siddique, Md. Anisuzzaman
Annisa
Morimoto, Yasuhiko
[J]. INFORMATION, 2019, 10 (03):
[4] Efficient privacy-preserving Gaussian process via secure multi-party computation
Liu, Shiyu
Luo, Jinglong
Zhang, Yehong
Wang, Hui
Yu, Yue
Xu, Zenglin
[J]. JOURNAL OF SYSTEMS ARCHITECTURE, 2024, 151
[5] Toward Privacy-Preserving Interdomain Configuration Verification via Multi-Party Computation
Xu, Huisan
Qin, Qiuyue
Fang, Xing
Xiang, Qiao
Shu, Jiwu
[J]. PROCEEDINGS OF THE 7TH ASIA-PACIFIC WORKSHOP ON NETWORKING, APNET 2023, 2023, : 28 - 33
[6] Security improvements for privacy-preserving quantum multiparty computation based on circular structure
Hussein Abulkasim
Atefeh Mashatan
Shohini Ghose
[J]. Quantum Information Processing, 2022, 21
[7] Security improvements for privacy-preserving quantum multiparty computation based on circular structure
Abulkasim, Hussein
Mashatan, Atefeh
Ghose, Shohini
[J]. QUANTUM INFORMATION PROCESSING, 2022, 21 (01)
[8] Privacy-Preserving Multi-Party Clustering: An Empirical Study
Silva, Arlei
Bellala, Gowtham
[J]. 2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2017, : 326 - 333
[9] Privacy-Preserving Multi-Party Conditional Random Selection
Wueller, Stefan
Assadsolimani, Benjamin
Meyer, Ulrike
Forg, Fabian
Wetzel, Susanne
[J]. 2019 17TH INTERNATIONAL CONFERENCE ON PRIVACY, SECURITY AND TRUST (PST), 2019, : 317 - 323
[10] Privacy-Preserving Multi-Robot Task Allocation via Secure Multi-Party Computation
Alsayegh, Murtadha
Vanegas, Peter
Newaz, Abdullah Al Redwan
Bobadilla, Leonardo
Shell, Dylan A.
[J]. 2022 EUROPEAN CONTROL CONFERENCE (ECC), 2022, : 1274 - 1281

← 1 2 3 4 5 →