Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies

Yue Zhang, Keke Gai*, Meikang Qiu, Kai Ding

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Asset security and transaction efficiency have always been concerned, so that digital cryptocurrencies based on blockchain are increasingly favored. In the transaction, it is necessary to effectively protect private information such as identity and transaction content through technical means. This survey investigates privacy-preserving techniques commonly used in cryptocurrencies, and comparatively analyzes the advantages and disadvantages of different methods. The work mainly covers three technical dimensions. First, this paper investigates and summarizes privacy issues in cryptocurrencies. Second, we investigate mainstream privacy preserving techniques, such as Mixer, Homomorphic Encryption, and State Channel. Specially, we focus on the development of Zero-Knowledge Proof schemes and analyze current defects. Finally, the future direction of blockchain privacy protection technology is prospected.

源语言英语
主期刊名Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings
编辑Meikang Qiu
出版商Springer Science and Business Media Deutschland GmbH
3-18
页数16
ISBN(印刷版)9783030602475
DOI
出版状态已出版 - 2020
活动20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020 - New York, 美国
期限: 2 10月 20204 10月 2020

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12454 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020
国家/地区美国
New York
时期2/10/204/10/20

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