A smart contract detection method and system based on execution path homogeneity analysis

By performing path homology analysis, smart contract transaction rules can be identified and updated in real time, solving the problem that existing technologies cannot identify homologous polymorphic malicious behaviors, and improving the security and detection accuracy of smart contract transactions.

CN122419718APending Publication Date: 2026-07-17GUANGZHOU UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU UNIVERSITY
Filing Date
2026-05-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing smart contract detection technologies cannot identify malicious behaviors that are constructed by adjusting transaction parameter values ​​or changing call sequences, resulting in the failure of the detection mechanism. This makes it unable to cope with the rapid evolution of new vulnerabilities and lacks dynamic adaptability.

Method used

By analyzing the path homology, the original transaction data of smart contracts is obtained, on-chain transactions are intercepted, uninterrupted transaction data is judged as malicious transactions, transaction execution trajectory logs are restored in real time, and homology analysis is performed in combination with a preset historical vulnerability feature library to extract malicious path constraints, generate new interception rules and update on-chain transaction rules.

Benefits of technology

It enables accurate identification of malicious transactions with the same execution path, dynamically iterates and updates on-chain transaction rules, improves the accuracy and interception capability of smart contract malicious transaction detection, and ensures transaction security.

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Abstract

本发明提供了一种基于执行路径同源性分析的智能合约检测方法及系统,属于智能合约技术领域,该方法包括获取智能合约原始交易数据,再依据预设链上交易规则对其进行交易拦截;未被拦截的数据作为放行交易数据,对该数据进行实时恶意交易判定。若判定为恶意交易,便还原其执行路径得到交易执行轨迹日志,结合预设历史漏洞特征库开展同源性分析得到恶意路径分析结果,并提取恶意路径约束条件;随后基于分析结果与约束条件生成新拦截规则,更新链上交易规则以用于后续交易拦截。该方法通过执行路径同源性分析实现智能合约检测,可精准识别执行路径同源的恶意交易,实现链上交易规则的动态迭代更新,保障智能合约交易安全。
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