SCAnoGenerator:以太坊智能合约的自动异常注入

IF 6.5 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING IEEE Transactions on Software Engineering Pub Date : 2024-09-20 DOI:10.1109/TSE.2024.3464539
Pengcheng Zhang;Ben Wang;Xiapu Luo;Hai Dong
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引用次数: 0

摘要

尽管已经开发了许多工具来检测智能合约中的异常情况,但由于缺乏足够的异常真实合约(即在以太坊上拥有地址以实现特定目的的智能合约),对这些分析工具的评估一直受到阻碍。这个问题阻碍了对分析工具进行可靠的性能评估。解决这一问题的有效方法是向现实世界中的合约注入异常情况,并自动标注注入异常情况的位置和类型。SolidiFI 是该领域第一个也是唯一一个自动向以太坊智能合约注入异常点的工具。然而,SolidiFI 受到其方法论的限制(例如,其注入准确性和真实性较低)。为了解决这些局限性,我们提出了一种名为 SCAnoGenerator 的方法。SCAnoGenerator 支持 Solidity 0.5.x、0.6.x 和 0.7.x,可通过分析以太坊智能合约的控制流和数据流实现自动异常注入。在此基础上,我们开发了一款开源工具,可为智能合约注入 20 种异常情况。大量实验表明,SCAnoGenerator 在注入异常类型的数量、注入准确性和注入真实性方面都优于 SolidiFI。实验结果还显示,现有的分析工具只能部分检测到 SCAnoGenerator 注入的异常。
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SCAnoGenerator: Automatic Anomaly Injection for Ethereum Smart Contracts
Although many tools have been developed to detect anomalies in smart contracts, the evaluation of these analysis tools has been hindered by the lack of adequate anomalistic real-world contracts (i.e., smart contracts with addresses on Ethereum to achieve certain purposes). This problem prevents conducting reliable performance assessments on the analysis tools. An effective way to solve this problem is to inject anomalies into real-world contracts and automatically label the locations and types of the injected anomalies. SolidiFI , as the first and only tool in this area, was developed to automatically inject anomalies into Ethereum smart contracts. However, SolidiFI is subject to the limitations from its methodologies (e.g., its injection accuracy and authenticity are low). To address these limitations, we propose an approach called SCAnoGenerator . SCAnoGenerator supports Solidity 0.5.x, 0.6.x, 0.7.x and enables automatic anomaly injection for Ethereum smart contracts via analyzing the contracts’ control and data flows. Based on this approach, we develop an open-source tool, which can inject 20 types of anomalies into smart contracts. The extensive experiments show that SCAnoGenerator outperforms SolidiFI on the number of injected anomaly types, injection accuracy, and injection authenticity. The experimental results also reveal that existing analysis tools can only partially detect the anomalies injected by SCAnoGenerator .
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来源期刊
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering 工程技术-工程:电子与电气
CiteScore
9.70
自引率
10.80%
发文量
724
审稿时长
6 months
期刊介绍: IEEE Transactions on Software Engineering seeks contributions comprising well-defined theoretical results and empirical studies with potential impacts on software construction, analysis, or management. The scope of this Transactions extends from fundamental mechanisms to the development of principles and their application in specific environments. Specific topic areas include: a) Development and maintenance methods and models: Techniques and principles for specifying, designing, and implementing software systems, encompassing notations and process models. b) Assessment methods: Software tests, validation, reliability models, test and diagnosis procedures, software redundancy, design for error control, and measurements and evaluation of process and product aspects. c) Software project management: Productivity factors, cost models, schedule and organizational issues, and standards. d) Tools and environments: Specific tools, integrated tool environments, associated architectures, databases, and parallel and distributed processing issues. e) System issues: Hardware-software trade-offs. f) State-of-the-art surveys: Syntheses and comprehensive reviews of the historical development within specific areas of interest.
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