Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies

Yue Zhang; Keke Gai; Meikang Qiu; Kai Ding

doi:10.1007/978-3-030-60248-2_1

Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies

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

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings
Editors	Meikang Qiu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-18
Number of pages	16
ISBN (Print)	9783030602475
DOIs	https://doi.org/10.1007/978-3-030-60248-2_1
Publication status	Published - 2020
Event	20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020 - New York, United States Duration: 2 Oct 2020 → 4 Oct 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12454 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020
Country/Territory	United States
City	New York
Period	2/10/20 → 4/10/20

Keywords

Blockchain
Cryptocurrencies
Homomorphic Encryption
Mixer
Privacy preserving
State Channel
Zero-Knowledge Proofs

Access to Document

10.1007/978-3-030-60248-2_1

Cite this

Zhang, Y., Gai, K., Qiu, M., & Ding, K. (2020). Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies. In M. Qiu (Ed.), Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings (pp. 3-18). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12454 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60248-2_1

Zhang, Yue ; Gai, Keke ; Qiu, Meikang et al. / Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies. Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. editor / Meikang Qiu. Springer Science and Business Media Deutschland GmbH, 2020. pp. 3-18 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies",

abstract = "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.",

keywords = "Blockchain, Cryptocurrencies, Homomorphic Encryption, Mixer, Privacy preserving, State Channel, Zero-Knowledge Proofs",

author = "Yue Zhang and Keke Gai and Meikang Qiu and Kai Ding",

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Zhang, Y, Gai, K, Qiu, M & Ding, K 2020, Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies. in M Qiu (ed.), Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12454 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 3-18, 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, New York, United States, 2/10/20. https://doi.org/10.1007/978-3-030-60248-2_1

Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies. / Zhang, Yue; Gai, Keke; Qiu, Meikang et al.
Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. ed. / Meikang Qiu. Springer Science and Business Media Deutschland GmbH, 2020. p. 3-18 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12454 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies

AU - Zhang, Yue

AU - Gai, Keke

AU - Qiu, Meikang

AU - Ding, Kai

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Blockchain

KW - Cryptocurrencies

KW - Homomorphic Encryption

KW - Mixer

KW - Privacy preserving

KW - State Channel

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SN - 9783030602475

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Zhang Y, Gai K, Qiu M, Ding K. Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies. In Qiu M, editor, Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 3-18. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-60248-2_1

Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies

Abstract

Publication series

Conference

Keywords

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