Private feasible solution determination

Abstract Applying secure multi‐party computation (SMC) to implement secure linear programming is an important problem of SMC. Private feasible solution determination means that one of the participants has a private value and the other participants have some constraints, and they want to cooperativel...

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Main Authors: Xue Ge, Jiawei Dou, Wenli Wang, Yingnan Wang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Information Security
Online Access:https://doi.org/10.1049/ise2.12003
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spelling doaj-a8bca94d70e345d0bf5d97d91aa4dfd12021-07-14T13:25:19ZengWileyIET Information Security1751-87091751-87172021-01-01151768610.1049/ise2.12003Private feasible solution determinationXue Ge0Jiawei Dou1Wenli Wang2Yingnan Wang3School of Mathematics and Information Science Shaanxi Normal University Xi'an ChinaSchool of Mathematics and Information Science Shaanxi Normal University Xi'an ChinaSchool of Computer Science Shaanxi Normal University Xi'an ChinaSchool of Mathematics and Information Science Shaanxi Normal University Xi'an ChinaAbstract Applying secure multi‐party computation (SMC) to implement secure linear programming is an important problem of SMC. Private feasible solution determination means that one of the participants has a private value and the other participants have some constraints, and they want to cooperatively determine whether the private value satisfies the constraints without disclosing their private information. This problem has important theoretical and practical significance in both scientific research and practice. In this study, the authors propose a protocol based on elliptic curve cryptosystem for this problem and prove that the protocol is secure in the semi‐honest model. Furthermore, threshold decryption elliptic curve cryptosystem is used to privately determine a feasible solution with multiple constraints for two‐party and multi‐party scenarios. The efficiency analysis shows that the protocols developed in this study are simple and efficient. Finally, the authors also show how to use these protocols to solve other SMC problems.https://doi.org/10.1049/ise2.12003
collection DOAJ
language English
format Article
sources DOAJ
author Xue Ge
Jiawei Dou
Wenli Wang
Yingnan Wang
spellingShingle Xue Ge
Jiawei Dou
Wenli Wang
Yingnan Wang
Private feasible solution determination
IET Information Security
author_facet Xue Ge
Jiawei Dou
Wenli Wang
Yingnan Wang
author_sort Xue Ge
title Private feasible solution determination
title_short Private feasible solution determination
title_full Private feasible solution determination
title_fullStr Private feasible solution determination
title_full_unstemmed Private feasible solution determination
title_sort private feasible solution determination
publisher Wiley
series IET Information Security
issn 1751-8709
1751-8717
publishDate 2021-01-01
description Abstract Applying secure multi‐party computation (SMC) to implement secure linear programming is an important problem of SMC. Private feasible solution determination means that one of the participants has a private value and the other participants have some constraints, and they want to cooperatively determine whether the private value satisfies the constraints without disclosing their private information. This problem has important theoretical and practical significance in both scientific research and practice. In this study, the authors propose a protocol based on elliptic curve cryptosystem for this problem and prove that the protocol is secure in the semi‐honest model. Furthermore, threshold decryption elliptic curve cryptosystem is used to privately determine a feasible solution with multiple constraints for two‐party and multi‐party scenarios. The efficiency analysis shows that the protocols developed in this study are simple and efficient. Finally, the authors also show how to use these protocols to solve other SMC problems.
url https://doi.org/10.1049/ise2.12003
work_keys_str_mv AT xuege privatefeasiblesolutiondetermination
AT jiaweidou privatefeasiblesolutiondetermination
AT wenliwang privatefeasiblesolutiondetermination
AT yingnanwang privatefeasiblesolutiondetermination
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