GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection-Reference-Cited by-同舟云学术

GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)
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Author:

Zhu Huijuan¹,Yang Kaixuan¹,Wang Liangmin²,Xu Zhicheng³,Sheng Victor S.⁴

Affiliation:

1. Jiangsu University,The School of Computer Science and Communication Engineering,Zhenjiang,China,212003

2. Southeast University,The School of Cyber Science and Engineering,Nanjing,China,211189

3. Jiangsu University,The School of Mathematical Sciences,Zhenjiang,China,212003

4. Texas Tech University,The Department of Computer Science,Lubbock,TX,USA,79409

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10299935/10299936/10301241.pdf?arnumber=10301241

Reference45 articles.

1. ContractFuzzer: fuzzing smart contracts for vulnerability detection

2. Smart contract vulnerability detection using graph neural networks;zhuang;Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence,2021

3. ReGuard: Finding Reentrancy Bugs in Smart Contracts;liu;2018 IEEE/ACM 40th International Conference on Software Engineering Companion (ICSE-Companion) ICSE-Companion,2018

4. Smartconde-tect: Highly accurate smart contract code vulnerability detection mechanism using bert;jeon;KDD Workshop on Programming Language Processing,0

5. Class-based n-gram models of natural language;brown;Computational Linguistics,1992

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