research-article

Block-SMPC: A Blockchain-based Secure Multi-party Computation for Privacy-Protected Data Sharing

Authors:

Chengnian LongAuthors Info & Claims

ICBCT '20: Proceedings of the 2020 2nd International Conference on Blockchain Technology

Pages 46 - 51

https://doi.org/10.1145/3390566.3391664

Published: 29 May 2020 Publication History

Abstract

With the rapid development of Internet of Things, the demand of data sharing is not only to ensure the data integrity, but also to protect user's individual privacy. Secure multi-party computation, as a technology paradigm based on cryptography technology, enables privacy protection in data sharing among multiple parties, while the implement of secure multi-party computation is limited due to the inefficient, complex computation protocol and frequent interaction. Fortunately, the emergence of blockchain technology provides excellent properties of decentralization, verifiability and high reliability for secure multi-party computation. In this paper, we propose a blockchain-based secure multi-party computation architecture for data sharing, where we design an aggregator consortium for data storage, verification and joint computation. Moreover, we introduce a straightforward secure multi-party computation scheme based on homomorphic encryption. In addition, we analyze and discuss this scheme in terms of data security, access flexibility, attack resistance and potential applications.

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Tawfik AAl-Ahwal AEldien AZayed H(2025)PriCollabAnalysis: privacy-preserving healthcare collaborative analysis on blockchain using homomorphic encryption and secure multiparty computationCluster Computing10.1007/s10586-024-04928-z28:3Online publication date: 21-Jan-2025
https://doi.org/10.1007/s10586-024-04928-z
Park HChung HSeo HJeon DPark Y(2024)Blockchain Technology Classification Considering Overseas Research TrendsJournal of Digital Contents Society10.9728/dcs.2024.25.7.179125:7(1791-1810)Online publication date: 31-Jul-2024
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Liu YYang CLiu QXu MZhang CCheng LWang W(2024)PDPHE: Personal Data Protection for Trans-Border Transmission Based on Homomorphic EncryptionElectronics10.3390/electronics1310195913:10(1959)Online publication date: 16-May-2024
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Index Terms

Block-SMPC: A Blockchain-based Secure Multi-party Computation for Privacy-Protected Data Sharing
1. Security and privacy
  1. Systems security
    1. Distributed systems security

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cover image ACM Other conferences

ICBCT '20: Proceedings of the 2020 2nd International Conference on Blockchain Technology

March 2020

166 pages

ISBN:9781450377676

DOI:10.1145/3390566

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Shanghai Jiao Tong University: Shanghai Jiao Tong University
Huazhong University of Science and Technology

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Association for Computing Machinery

New York, NY, United States

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Published: 29 May 2020

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ICBCT'20

ICBCT'20: 2020 The 2nd International Conference on Blockchain Technology

March 12 - 14, 2020

HI, Hilo, USA

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Cited By

Tawfik AAl-Ahwal AEldien AZayed H(2025)PriCollabAnalysis: privacy-preserving healthcare collaborative analysis on blockchain using homomorphic encryption and secure multiparty computationCluster Computing10.1007/s10586-024-04928-z28:3Online publication date: 21-Jan-2025
https://doi.org/10.1007/s10586-024-04928-z
Park HChung HSeo HJeon DPark Y(2024)Blockchain Technology Classification Considering Overseas Research TrendsJournal of Digital Contents Society10.9728/dcs.2024.25.7.179125:7(1791-1810)Online publication date: 31-Jul-2024
https://doi.org/10.9728/dcs.2024.25.7.1791
Liu YYang CLiu QXu MZhang CCheng LWang W(2024)PDPHE: Personal Data Protection for Trans-Border Transmission Based on Homomorphic EncryptionElectronics10.3390/electronics1310195913:10(1959)Online publication date: 16-May-2024
https://doi.org/10.3390/electronics13101959
Wang RXu CYe FTang SZhang X(2024)S-MBDA: A Blockchain-Based Architecture for Secure Storage and Sharing of Material Big DataIEEE Internet of Things Journal10.1109/JIOT.2024.335625011:15(25505-25519)Online publication date: 1-Aug-2024
https://doi.org/10.1109/JIOT.2024.3356250
Qi MWang ZHan QZhang JChen SXiang Y(2024)Privacy Protection for Blockchain-Based Healthcare IoT Systems: A SurveyIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2022.10605811:8(1757-1776)Online publication date: Aug-2024
https://doi.org/10.1109/JAS.2022.106058
Pei HYang PDu MLiang ZHu Z(2024)Blockchain-assisted Verifiable Secure Multi-Party Data ComputingComputer Networks10.1016/j.comnet.2024.110712253(110712)Online publication date: Nov-2024
https://doi.org/10.1016/j.comnet.2024.110712
Nguyen LHoang JWang QLu QXu SChen S(2023)BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)10.1109/ICBC56567.2023.10174943(1-9)Online publication date: 1-May-2023
https://doi.org/10.1109/ICBC56567.2023.10174943
Li WLi YZheng CHe R(2023)Blockchain-based Model for Privacy-enhanced Data Sharing2023 10th International Conference on Dependable Systems and Their Applications (DSA)10.1109/DSA59317.2023.00056(406-417)Online publication date: 10-Aug-2023
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Siddika AZhao L(2023)Enhancing Trust and Reliability in AI and ML: Assessing Blockchain's Potential to Ensure Data Integrity and Security2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361446(0312-0316)Online publication date: 14-Nov-2023
https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361446
Wang RXu CDong RLuo ZZheng RZhang X(2023)A secured big-data sharing platform for materials genome engineeringFuture Generation Computer Systems10.1016/j.future.2022.12.026142:C(59-74)Online publication date: 1-May-2023
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