UCoin: An Efficient Privacy Preserving Scheme for Cryptocurrencies
Open accessAbstract
In cryptocurrencies, privacy of users is preserved using pseudonymity . However, it has been shown that pseudonymity does not result in anonymity if a user's transactions are linkable. This makes cryptocurrencies vulnerable to deanonymization attacks. The current solutions proposed in the literature suffer from at least one of the following issues: (1) requiring a trusted third–party entity, (2) poor performance, and (3) incompatible with the standard structure of cryptocurrencies. In this article, we propose Unlinkable Coin (UCoin), a secure mix–based approach to address these issues. In UCoin, the link between the input (payer) and output (payee) addresses in a transaction is broken. This is done by mixing the transactions of multiple users into a single aggregated transaction in which the output addresses have been secretly shuffled. In our protocol design, we first develop HDC–net, a secure shuffling protocol that enables a group of users to anonymously publish their data. Then, we deploy the proposed HDC–net protocol in the UCoin architecture (as a mixing unit) to generate the aggregate transactions. We show that UCoin (1) does not rely on a trusted third–party, (2) can mix 50 transactions in 6.3 seconds that is 18% faster than the current solutions, and (3) is fully compatible with the architecture of cryptocurrencies.
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Due to the widespread dependency among entities, it is difficult for security personnel to allocate clear security boundary responsibilities to each entity in the smart home, which makes the static access control method ineffective.
“Due to the widespread dependency among entities, it is difficult for security personnel to allocate clear security boundary responsibilities to each entity in the smart home, which makes the static access control method ineffective [131].”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [131]
Cites
Tor: The Second-Generation Onion Router
Dingledine, R., Mathewson, N., & Syverson, P. (2004) · doi:10.21236/ada465464 · Cited by 4,104 · see citing works
A Survey on Security and Privacy Issues of Bitcoin
Conti, M., Sandeep Kumar, E., Lal, C., & Ruj, S. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2842460 · Cited by 1,116 · see citing works
Zerocoin: Anonymous Distributed E-Cash from Bitcoin
Miers, I., Garman, C., Green, M., & Rubin, A. D. (2013) · 2013 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2013.34 · Cited by 983 · see citing works
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172 · see citing works
Self-citation
- Authors
- Nosouhi, M. R., Yu, S., Sood, K., Grobler, M., Jurdak, R., Dorri, A., & Shen, S.
- Affiliations
- Deakin University (AU)
- University of Technology Sydney (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Queensland University of Technology (AU)
- Shaoxing University (CN)
- Venue
- IEEE Transactions on Dependable and Secure Computing
- Published
- 2023-01-01
- Volume
- 20
- Issue
- 1
- Pages
- 242-255
- ISSN
- 1545-5971 (ISSN-L)
- 1941-0018
- 2160-9209
- OpenAlex
- W3215847170
- Cited by
- 32
- References
- 3
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 11 · 2022: 7
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.qut.edu.au
- Licence
- Locations
- IEEE Transactions on Dependable and Secure Computing (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc)
- Deakin Research Online (Deakin University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (61772018)
- Zhejiang Provincial Natural Science Foundation of China (LZ22F020002)
- Australia ARC (DP200101374)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Keywords
- cryptocurrency privacy, de-anonymization, transaction unlinkability, pseudonymity
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