Paper 2023/1862

Analyzing UTXO-Based Blockchain Privacy Threats

Simin Ghesmati, TU Wien
Walid Fdhila, SBA Research
Edgar Weippl, University of Vienna
Abstract

While blockchain technologies leverage compelling characteristics in terms of decentralization, immutability, and transparency, user privacy in public blockchains remains a fundamental challenge that requires particular attention. This is mainly due to the history of all transactions being accessible and available to anyone, thus making it possible for an attacker to infer data about users that is supposed to remain private. In this paper, we provide a threat model of possible privacy attacks on users utilizing the Bitcoin blockchain. To this end, we followed the LINDDUN GO methodology to identify threats and suggest possible mitigation.

Metadata
Available format(s)
PDF
Category
Attacks and cryptanalysis
Publication info
Preprint.
Keywords
PrivacyBlockchainthreatsBitcoinmitigation
Contact author(s)
ghesmati @ icloud com
wfdhila @ sba-research org
eweippl @ sba-research org
History
2023-12-16: revised
2023-12-04: received
See all versions
Short URL
https://ia.cr/2023/1862
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2023/1862,
      author = {Simin Ghesmati and Walid Fdhila and Edgar Weippl},
      title = {Analyzing {UTXO}-Based Blockchain Privacy Threats},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/1862},
      year = {2023},
      url = {https://eprint.iacr.org/2023/1862}
}
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