Paper 2023/1902 Original: eprint.iacr.org/2023/1902 ↗
A Transaction-Level Model for Blockchain Privacy
Abstract
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
- Preprint.
- History
- 2023-12-11: last updated
- 2023-12-11: published
- Short URL
- https://ia.cr/2023/1902
- License
- https://creativecommons.org/licenses/by/4.0/
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}
}