重新思考密码笔记式区块链中的不可追溯性

Jiangshan Yu, M. Au, P. Veríssimo
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引用次数: 17

摘要

我们为cryptonote风格的区块链系统开发了交易不可追溯性的新基础。特别是,我们观察到新的攻击;建立交易不可追溯性模型的理论基础;提供交易不可追溯性保证的最小上界;提供有效和自动验证给定分类帐是否达到最佳交易不可追溯性的方法;并提供一个通用的解决方案,以实现可证明的最佳交易不可追溯性。与之前针对cryptonote风格交易不可追溯性的级联效应攻击(ESORICS' 17和PETS' 18)不同,我们不仅考虑被动攻击者,还考虑主动自适应攻击者。我们观察到的攻击允许两种类型的攻击者跟踪区块链交易,这些交易无法通过使用现有攻击来跟踪。我们开发了一系列新游戏,我们称之为“孙子生存问题”,来模拟cryptonoet风格的区块链交易不可追溯性和我们识别的攻击。此外,我们还获得了七个新颖的结果,其中三个是否定的,其余的是肯定的。特别是,由于我们的抽象博弈,我们能够构建二部图来模拟交易的不可追溯性,并提供将计算不可追溯性的硬度与计算所有可能的二部图中完美匹配数量的硬度形式化地联系起来的约简。我们证明了计算事务不可追溯性是一个# p -完全问题,它被认为比NP问题更难解决。此外,我们还提供了事务不可追溯性最小上界的第一个结果。此外,通过我们的理论结果,我们能够提供有效和自动验证给定分类帐是否达到最佳交易不可追溯性的方法。此外,我们为cryptonote风格的区块链系统提出了一个简单的策略,以实现最佳的不可追溯性。我们以门罗币为具体实例,演示如何应用这一策略来优化门罗币提供的不可追溯性保证。
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Re-Thinking Untraceability in the CryptoNote-Style Blockchain
We develop new foundations on transaction untraceability for CryptoNote-style blockchain systems. In particular, we observe new attacks; develop theoretical foundations to model transaction untraceability; provide the least upper bound of transaction untraceability guarantee; provide ways to efficiently and automatically verify whether a given ledger achieves optimal transaction untraceability; and provide a general solution that achieves provably optimal transaction untraceability. Unlike previous cascade effect attacks (ESORICS' 17 and PETS' 18) on CryptoNote-style transaction untraceability, we consider not only a passive attacker but also an active adaptive attacker. Our observed attacks allow both types of attacker to trace blockchain transactions that cannot be traced by using the existing attacks. We develop a series of new games, which we call "The Sun-Tzu Survival Problem", to model CryptoNote-style blockchain transaction untraceability and our identified attacks. In addition, we obtain seven novel results, where three of them are negative and the rest are positive. In particular, thanks to our abstract game, we are able to build bipartite graphs to model transaction untraceability, and provide reductions to formally relate the hardness of calculating untraceability to the hardness of calculating the number of perfect matchings in all possible bipartite graphs. We prove that calculating transaction untraceability is a #P-complete problem, which is believed to be even more difficult to solve than NP problems. In addition, we provide the first result on the least upper bound of transaction untraceability. Moreover, through our theoretical results, we are able to provide ways to efficiently and automatically verify whether a given ledger achieves optimal transaction untraceability. Furthermore, we propose a simple strategy for CryptoNote-style blockchain systems to achieve optimal untraceability. We take Monero as a concrete example to demonstrate how to apply this strategy to optimise the untraceability guarantee provided by Monero.
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