论文标题
迈克尔逊智能合同的抽象解释
Abstract interpretation of Michelson smart-contracts
论文作者
论文摘要
储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。
Static analysis of smart-contracts is becoming more widespread on blockchain platforms. Analyzers rely on techniques like symbolic execution or model checking, but few of them can provide strong soundness properties and guarantee the analysis termination at the same time. As smart-contracts often manipulate economic assets, proving numerical properties beyond the absence of runtime errors is also desirable. Smart-contract execution models differ considerably from mainstream programming languages and vary from one blockchain to another, making state-of-the-art analyses hard to adapt. For instance, smart-contract calls may modify a persistent storage impacting subsequent calls. This makes it difficult for tools to infer invariants required to formally ensure the absence of exploitable vulnerabilities. The Michelson smart-contract language, used in the Tezos blockchain, is strongly typed, stack-based, and has a strict execution model leaving few opportunities for implicit runtime errors. We present a work in progress static analyzer for Michelson based on Abstract Interpretation and implemented within MOPSA, a modular static analyzer. Our tool supports the Michelson semantic features, including inner calls to external contracts. It can prove the absence of runtime errors and infer invariants on the persistent storage over an unbounded number of calls. It is also being extended to prove high-level numerical and security properties. CCS Concepts: $\bullet$ Security and privacy $\rightarrow$ Logic and verification; $\bullet$ Software and its engineering $\rightarrow$ Automated static analysis.