A Privacy-Preserving Credit Bank Supervision Framework Based on Redactable Blockchain

被引:1
|
作者
Huang, Xinzhe [1 ]
Ding, Yong [1 ,2 ]
Zheng, Haibin [3 ]
Luo, Decun [3 ]
Wang, Yujue [1 ]
Wu, Junfu [1 ]
Zhang, Luyi [1 ]
机构
[1] Guilin Univ Elect Technol, Sch Comp & Informat Secur, Guangxi Key Lab Cryptog & Informat Secur, Guilin 541004, Peoples R China
[2] Pengcheng Lab, Cyberspace Secur Res Ctr, Shenzhen 518038, Peoples R China
[3] Beihang Univ, Hangzhou Innovat Inst, Hangzhou 310053, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金; 中国博士后科学基金;
关键词
Credit bank; Chameleon hash; Redactable blockchain; Threshold signature; Privacy protection;
D O I
10.1007/978-981-19-8043-5_2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Credit bank plays a vital role in constructing a lifelong education system. However, it confronts many security and privacy issues, and it is difficult to maintain the records. Thus, the blockchain technology has been introduced to achieve automatic management of credit bank. Unfortunately, the immutable nature of blockchain makes it impossible for students to delete their private data when they leave, which would bring data leakage risks. As an effective way to protect private data, redactable blockchain allows user to modify the data on the blockchain. However, existing redactable blockchains lack a trusted third party regulatory mechanism to ensure the legality and compliance of delete operations. To addresses these issues, based on redactable blockchain and threshold signature, this paper provides a data management scheme with privacy protection for credit bank, which supports external supervision, and allows secure and efficient deletion of student's private data on the blockchain while ensuring the privacy data of students. Theoretical analysis and experiments show that the proposed scheme can effectively resist malicious behaviors and has practical performance.
引用
下载
收藏
页码:18 / 30
页数:13
相关论文
共 50 条
  • [31] Privacy-Preserving Electricity Theft Detection Based on Blockchain
    Zhao Z.
    Liu Y.
    Zeng Z.
    Chen Z.
    Zhou H.
    IEEE Transactions on Smart Grid, 2023, 14 (05) : 4047 - 4059
  • [32] A Novel Location Privacy-Preserving Approach Based on Blockchain
    Qiu, Ying
    Liu, Yi
    Li, Xuan
    Chen, Jiahui
    SENSORS, 2020, 20 (12) : 1 - 12
  • [33] Privacy-Preserving and Revocable Redactable Blockchains With Expressive Policies in IoT
    Guo, Hongchen
    Chen, Liren
    Ren, Xuhao
    Zhao, Mingyang
    Li, Chunhai
    Xue, Jingfeng
    Zhu, Liehuang
    Zhang, Chuan
    IEEE Internet of Things Journal, 2024, 11 (21) : 35390 - 35404
  • [34] A Privacy-Preserving and Robust Reputation System based on Blockchain
    Sun, Shuai
    Liu, Yuan
    Guo, Guibing
    2019 IEEE INTL CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, BIG DATA & CLOUD COMPUTING, SUSTAINABLE COMPUTING & COMMUNICATIONS, SOCIAL COMPUTING & NETWORKING (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2019), 2019, : 634 - 639
  • [35] A Blockchain-based Privacy-Preserving Recommendation Mechanism
    Lin, Liangjie
    Tian, Yuchen
    Liu, Yang
    2021 IEEE 5TH INTERNATIONAL CONFERENCE ON CRYPTOGRAPHY, SECURITY AND PRIVACY (ICCSP), 2021, : 74 - 78
  • [36] Scalable and Privacy-Preserving Data Sharing Based on Blockchain
    Zheng, Bao-Kun
    Zhu, Lie-Huang
    Shen, Meng
    Gao, Feng
    Zhang, Chuan
    Li, Yan-Dong
    Yang, Jing
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2018, 33 (03) : 557 - 567
  • [37] Scalable and Privacy-Preserving Data Sharing Based on Blockchain
    Bao-Kun Zheng
    Lie-Huang Zhu
    Meng Shen
    Feng Gao
    Chuan Zhang
    Yan-Dong Li
    Jing Yang
    Journal of Computer Science and Technology, 2018, 33 : 557 - 567
  • [38] A framework of blockchain-based secure and privacy-preserving E-government system
    Noe Elisa
    Longzhi Yang
    Fei Chao
    Yi Cao
    Wireless Networks, 2023, 29 : 1005 - 1015
  • [39] BPRF: Blockchain-based privacy-preserving reputation framework for participatory sensing systems
    Jo, Hyo Jin
    Choi, Wonsuk
    PLOS ONE, 2019, 14 (12):
  • [40] Blockchain-based privacy-preserving multi-tasks federated learning framework
    Jia, Yunyan
    Xiong, Ling
    Fan, Yu
    Liang, Wei
    Xiong, Neal
    Xiao, Fengjun
    CONNECTION SCIENCE, 2024, 36 (01)