A survey on privacy protection in blockchain system
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Zerocoin uses ZKPs to solve the double spending problem without revealing the transaction associated to the funds.
“They use ZKPs to solve the double spending problem without revealing the transaction associated to the funds.”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [16]
Commitment schemes are used not only for ZKPs, but also in distributed computations as coin-flipping protocols, or in blockchains to hide a transaction's value, binding the owner to the real secret attributes, e.g. Zerocoin or Zcash.
“But they are used not only for ZKPs, but also in distributed computations as coin- ipping protocols, or in blockchains to hide a transaction's value, binding the owner to the real secret attributes, e.g. Zerocoin [16] or Zcash [17].”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [16]
Zerocoin introduced zero-knowledge proofs of set membership as a privacy solution to Bitcoin's pseudonymity.
“Zerocoin [16] introduced zero-knowledge proofs of set membership as a privacy solution to Bitcoin's pseudonymity.”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [16]
In Zerocoin, the ZKP hides the origin of the funds, hindering linkability, and the revealed serial number S prevents double spending, as every node keeps track of spent transactions as revealed serial numbers.
“In the transaction, the ZKP hides the origin of the funds, hindering linkability, and the revealed serial number S prevents the double spending, as every node keeps track of spent transactions as revealed serial numbers.”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [16]
Cites
Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
Paillier, P. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-48910-x_16 · Cited by 7,250 · see citing works
Blockchain technology: principles and applications
Pilkington, M. (2016) · Research Handbook on Digital Transformations · doi:10.4337/9781784717766.00019 · Cited by 1,627 · see citing works
Rivest, R. L., Shamir, A., & Tauman, Y. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45682-1_32 · Cited by 1,619 · 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
Bitcoin over Tor isn't a Good Idea
Biryukov, A., & Pustogarov, I. (2015) · 2015 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2015.15 · Cited by 193 · see citing works
(2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45682-1 · Cited by 54 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545 · see citing works
Blockchain for industry 4.0: a comprehensive review
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766 · see citing works
Self-citationHassan, M. U., Rehmani, M. H., & Chen, J. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.060 · Cited by 520 · see citing works
Privacy-Preserving Solutions for Blockchain: Review and Challenges
Bernal Bernabe, J., Canovas, J. L., Hernandez-Ramos, J. L., Torres Moreno, R., & Skarmeta, A. (2019) · IEEE Access · doi:10.1109/access.2019.2950872 · Cited by 430 · see citing works
“There is another recent survey about privacy in blockchains [31], but, unlike this paper, they did not identify the privacy-related challenges, and the threats they cover are exclusively related”
BackgroundA survey on the adoption of blockchain in IoT: challenges and solutions
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2021) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2021.100006 · Cited by 365 · see citing works
Blockchain and Artificial Intelligence Technology in E-Health
Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., Kaushik, D., & Rahman, M. H. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16223-0 · Cited by 281 · see citing works
A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions
Ismail, L., & Materwala, H. (2019) · Symmetry · doi:10.3390/sym11101198 · Cited by 278 · see citing works
Best: blockchain-based secure energy trading in SDN enabled intelligent transportation system
Chaudhary, R., Jindal, A., Aujla, G. S., Aggarwal, S., Kumar, N., & Choo, K.-K. R. (2019) · Computers & Security · doi:10.1016/j.cose.2019.05.006 · Cited by 276 · see citing works
Self-citationBlockchain envisioned uav networks: challenges, solutions, and comparisons
Mehta, P., Gupta, R., & Tanwar, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.01.023 · Cited by 266 · see citing works
Securing smart cities through blockchain technology: architecture, requirements, and challenges
Hakak, S., Khan, W. Z., Gilkar, G. A., Imran, M., & Guizani, N. (2020) · IEEE Network · doi:10.1109/mnet.001.1900178 · Cited by 214 · see citing works
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3119639 · Cited by 217 · see citing works
Manogaran, G., Rawal, B. S., Saravanan, V., Kumar, P. M., Martínez, O. S., Crespo, R. G., Montenegro-Marin, C. E., & Krishnamoorthy, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.07.020 · Cited by 87 · see citing works
A systematic literature mapping on secure identity management using blockchain technology
Rathee, T., & Singh, P. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.03.005 · Cited by 78 · see citing works
Privacy-preserving security of IoT networks: A comparative analysis of methods and applications
Wakili, A., & Bakkali, S. (2025) · Cyber Security and Applications · doi:10.1016/j.csa.2025.100084 · Cited by 30 · see citing works
- Authors
- Feng, Q., He, D., Zeadally, S., Khan, M. K., & Kumar, N.
- Affiliations
- Wuhan University (CN)
- University of Kentucky (US)
- King Saud University (SA)
- Thapar Institute of Engineering & Technology (IN)
- Corresponding author
- He, Debiao
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 126
- Pages
- 45-58
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2900580116
- Cited by
- 804
- References
- 6
- Citations by year
- 2026: 29 · 2025: 74 · 2024: 113 · 2023: 142 · 2022: 140 · 2021: 146 · 2020: 124 · 2019: 36
- FWCI
- 123.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Network and Computer Applications (publishedVersion)
- Funders
- National Key Research and Development Program of China (2017YFB0802500)
- National Natural Science Foundation of China (61501333, 61572379, 61472287, 61772377)
- Natural Science Foundation of Hubei Province of China (2017CFA007, 2015CFA068)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, privacy preservation, privacy risks, anonymity, transaction privacy, consensus algorithms, Internet of Things, supply chain systems, identity management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
