The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Blockchain Access Privacy: Challenges and Directions
Abstract
Privacy, facilitated by a confluence of cryptography and decentralization, is one of the primary motivations for the adoption of cryptocurrencies like Bitcoin. Alas, Bitcoins privacy promise has proven illusory, and despite growing interest in privacy-centric blockchains, most blockchain users remain susceptible to privacy attacks that exploit network-layer information and access patterns that leak as users interact with blockchains. Understanding if and how blockchain-based applications can provide strong privacy guarantees is a matter of increasing urgency. Many researchers advocate using anonymous communications networks, such as Tor, to ensure access privacy. We challenge this approach, showing the need for mechanisms through which non-anonymous users can (i) publish transactions that cannot be linked to their network addresses or to their other transactions, and (ii) fetch details of specific transactions without revealing which transactions they seek. We hope this article inspires blockchain researchers to think beyond Tor and tackle these important access privacy problems head-on.
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“To solve this problem, it is envisioned that complete anonymization, decentralization, and untraceability can be realised in 6G networks by blockchain technology [62].”
From What should 6G be? (2020) · cites this paper as [62]
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Metadata
- Authors
- Henry, R., Herzberg, A., & Kate, A.
- Affiliations
- University of Calgary (CA)
- University of Connecticut (US)
- Purdue University West Lafayette (US)
- Venue
- IEEE Security & Privacy
- Published
- 2018-07
- Volume
- 16
- Issue
- 4
- Pages
- 38-45
- ISSN
- 1540-7993 (ISSN-L)
- 1558-4046
- OpenAlex
- W2886177063
- Cited by
- 273
- References
- 15
- Citations by year
- 2026: 7 · 2025: 26 · 2024: 28 · 2023: 40 · 2022: 38 · 2021: 47 · 2020: 46 · 2019: 39 · 2018: 2
- FWCI
- 54.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Security & Privacy (publishedVersion)
- Funders
- National Science Foundation
- Israel Science Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
- Keywords
- blockchain privacy, privacy attacks, Tor, unlinkability, transaction unlinkability, Bitcoin
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 ›
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