【Author】
Hinteregger, Abraham; Haslhofer, Bernhard
【Source】FINANCIAL CRYPTOGRAPHY AND DATA SECURITY, FC 2019
【Abstract】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.
【摘要】Monero是一种以隐私为中心的加密货币，通过在交易中花费的每一个真实输入中添加诱饵，使输入无法追踪。2017年的两项研究发现了区分诱饵和真实输入的方法，这使得大多数交易具有可追溯性。自那时以来，引入了一些协议变更，但其有效性尚未重新评估。此外，对于跨硬叉链的Monero事务的可跟踪性知之甚少。我们形式化了一种新的跟踪Monero交易的方法，该方法基于分析货币硬叉。我们使用该方法对来自Monero、MoneroV和Monero原始区块链的数据进行（被动）可追溯性分析，发现只有少量输入是可追溯的。然后，我们使用这些结果来估计已知启发式算法对最近交易的有效性，并发现它们没有显著优于随机猜测。我们的研究结果表明，Monero目前主要对已知的被动攻击向量免疫，并抵抗应用于其他加密货币的跟踪和追踪方法。
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