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Block-gram:Mining knowledgeable features for efficiently smart contract vulnerability detection

Xueshuo Xie Haolong Wang Zhaolong Jian Yaozheng Fang Zichun Wang Tao Li

Digital Communications and Networks2025，Vol.11Issue(1)：P.1-12,12.

Digital Communications and Networks2025，Vol.11Issue(1)：P.1-12,12.DOI:10.1016/j.dcan.2023.07.009

Block-gram:Mining knowledgeable features for efficiently smart contract vulnerability detection

Xueshuo Xie ¹Haolong Wang ²Zhaolong Jian ²Yaozheng Fang ²Zichun Wang ²Tao Li³

作者信息

1. College of Computer Science,Nankai University,Tianjin,China Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province,China State Key Laboratory of Computer Architecture,Institute of Computing Technology,Chinese Academy of Sciences,China
2. College of Computer Science,Nankai University,Tianjin,China
3. Tianjin Key Laboratory of Network and Data Security Technology,Tianjin,China College of Computer Science,Nankai University,Tianjin,China Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province,China State Key Laboratory of Computer Architecture,Institute of Computing Technology,Chinese Academy of Sciences,China
折叠

摘要

关键词

Smart contract/Bytecode&opcode/Knowledgeable features/Vulnerability detection/Feature contribution

分类

信息技术与安全科学

引用本文复制引用

Xueshuo Xie,Haolong Wang,Zhaolong Jian,Yaozheng Fang,Zichun Wang,Tao Li..Block-gram:Mining knowledgeable features for efficiently smart contract vulnerability detection[J].Digital Communications and Networks,2025,11(1):P.1-12,12.

基金项目

partially supported by the National Natural Science Foundation (62272248) （62272248）

the Open Project Fund of State Key Laboratory of Computer Architecture,Institute of Computing Technology,Chinese Academy of Sciences (CARCHA202108,CARCH201905) （CARCHA202108,CARCH201905）

the Natural Science Foundation of Tianjin (20JCZDJC00610) （20JCZDJC00610）

Sponsored by Zhejiang Lab (2021KF0AB04)。（2021KF0AB04）

Digital Communications and Networks

ISSN：2468-5925

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