SoK: Privacy-preserving smart contract

被引:2
作者
Qi, Huayi [1 ]
Xu, Minghui [1 ]
Yu, Dongxiao [1 ]
Cheng, Xiuzhen [1 ]
机构
[1] Shandong Univ, Sch Comp Sci & Technol, Qingdao 266237, Peoples R China
来源
HIGH-CONFIDENCE COMPUTING | 2024年 / 4卷 / 01期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Privacy; Smart contract; Zero-knowledge proof; Trusted execution environment; Blockchain; TRANSPARENT;
D O I
10.1016/j.hcc.2023.100183
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The privacy concern in smart contract applications continues to grow, leading to the proposal of various schemes aimed at developing comprehensive and universally applicable privacy-preserving smart contract (PPSC) schemes. However, the existing research in this area is fragmented and lacks a comprehensive system overview. This paper aims to bridge the existing research gap on PPSC schemes by systematizing previous studies in this field. The primary focus is on two categories: PPSC schemes based on cryptographic tools like zero-knowledge proofs, as well as schemes based on trusted execution environments. In doing so, we aim to provide a condensed summary of the different approaches taken in constructing PPSC schemes. Additionally, we also offer a comparative analysis of these approaches, highlighting the similarities and differences between them. Furthermore, we shed light on the challenges that developers face when designing and implementing PPSC schemes. Finally, we delve into potential future directions for improving and advancing these schemes, discussing possible avenues for further research and development. (c) 2024 The Author(s). Published by Elsevier B.V. on behalf of Shandong University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:11
相关论文
共 57 条
  • [1] A Transparent and Privacy-Preserving Healthcare Platform With Novel Smart Contract for Smart Cities
    Al Omar, Abdullah
    Jamil, Abu Kaisar
    Khandakar, Amith
    Uzzal, Abdur Razzak
    Bosri, Rabeya
    Mansoor, Nafees
    Rahman, Mohammad Shahriar
    [J]. IEEE ACCESS, 2021, 9 : 90738 - 90749
  • [2] [Anonymous], Arm Confidential Compute Architecture, Arm
  • [3] [Anonymous], AMD Secure Encrypted Virtualization (SEV)
  • [4] A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems
    Arachchige, Pathum Chamikara Mahawaga
    Bertok, Peter
    Khalil, Ibrahim
    Liu, Dongxi
    Camtepe, Seyit
    Atiquzzaman, Mohammed
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (09) : 6092 - 6102
  • [5] Multiverse of HawkNess: A Universally-Composable MPC-Based Hawk Variant
    Banerjee, Aritra
    Tewari, Hitesh
    [J]. CRYPTOGRAPHY, 2022, 6 (03)
  • [6] zkHawk: Practical Private Smart Contracts from MPC-based Hawk
    Banerjee, Aritra
    Clear, Michael
    Tewari, Hitesh
    [J]. 2021 3RD CONFERENCE ON BLOCKCHAIN RESEARCH & APPLICATIONS FOR INNOVATIVE NETWORKS AND SERVICES (BRAINS), 2021, : 245 - 248
  • [7] Baum Carsten, 2014, Security and Cryptography for Networks. 9th International Conference (SCN 2014). Proceedings: LNCS 8642, P175, DOI 10.1007/978-3-319-10879-7_11
  • [8] Baum C., 2022, Eagle: Efficient privacy preserving smart contracts
  • [9] Ben-Sasson E., 2018, Scalable, transparent
  • [10] Aurora: Transparent Succinct Arguments for R1CS
    Ben-Sasson, Eli
    Chiesa, Alessandro
    Riabzev, Michael
    Spooner, Nicholas
    Virza, Madars
    Ward, Nicholas P.
    [J]. ADVANCES IN CRYPTOLOGY - EUROCRYPT 2019, PT I, 2019, 11476 : 103 - 128