Paper 2023/1902
A Transaction-Level Model for Blockchain Privacy
, University of Bern, Imperial College London, Visa (United States), University of BernAbstract
Considerable work explores blockchain privacy notions. Yet, it usually employs entirely different models and notations, complicating potential comparisons. In this work, we use the Transaction Directed Acyclic Graph (TDAG) and extend it to capture blockchain privacy notions (PDAG). We give consistent definitions for untraceability and unlinkability. Moreover, we specify conditions on a blockchain system to achieve each aforementioned privacy notion. Thus, we can compare the two most prominent privacy-preserving blockchains -- Monero and Zcash, in terms of privacy guarantees. Finally, we unify linking heuristics from the literature with our graph notation and review a good portion of research on blockchain privacy.
Metadata
- Available format(s)
-
PDF
- Category
- Applications
- Publication info
- Published elsewhere. Minor revision. Financial Cryptography 24
- Keywords
- Blockchain privacyUntraceabilityUnlinkability
- Contact author(s)
-
francois-xavier wicht @ unibe ch
zhipeng wang20 @ imperial ac uk
duc le @ visa com
christian cachin @ unibe ch - History
- 2023-12-12: approved
- 2023-12-11: received
- See all versions
- Short URL
- https://ia.cr/2023/1902
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2023/1902,
author = {François-Xavier Wicht and Zhipeng Wang and Duc V. Le and Christian Cachin},
title = {A Transaction-Level Model for Blockchain Privacy},
howpublished = {Cryptology {ePrint} Archive, Paper 2023/1902},
year = {2023},
url = {https://eprint.iacr.org/2023/1902}
}
