CRDec 6, 2018

An Empirical Analysis of Monero Cross-Chain Traceability

arXiv:1812.02808v215 citations
AI Analysis

This addresses privacy concerns for Monero users by showing its current resistance to tracking, though it is incremental as it builds on prior traceability studies.

The study tackled the problem of Monero's cross-chain traceability by analyzing currency hard forks, finding that only a small amount of inputs are traceable and known heuristics do not significantly outperform random guessing.

Monero is a privacy-centric cryptocurrency that makes payments untraceable by adding decoys to every real input spent in a transaction. Two studies from 2017 found methods to distinguish decoys from real inputs, which enabled traceability for a majority of transactions. Since then, a number protocol changes have been introduced, but their effectiveness has not yet been reassessed. Furthermore, little is known about traceability of Monero transactions across hard fork chains. We formalize a new method for tracing Monero transactions, which is based on analyzing currency hard forks. We use that method to perform a (passive) traceability analysis on data from the Monero, MoneroV and Monero Original blockchains and find that only a small amount of inputs are traceable. We then use the results to estimate the effectiveness of known heuristics for recent transactions and find that they do not significantly outperform random guessing. Our findings suggest that Monero is currently mostly immune to known passive attack vectors and resistant to tracking and tracing methods applied to other cryptocurrencies.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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