MANDO-HGT: Heterogeneous graph transformers for smart contract vulnerability detection

• Main Authors: NGUYEN, Huu Hoang, NGUYEN, Nhat Minh, XIE, Chunyao, AHMADI, Zahra, KUDENDO, Daniel, DOAN, Thanh-Nam, JIANG, Lingxiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Bytecode; Graph transformer; Heterogeneous graph learning; Smart contracts; Source code; Vulnerability detection; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8343; https://ink.library.smu.edu.sg/context/sis_research/article/9346/viewcontent/MSR2023MANDO.pdf
• Institution: Singapore Management University

Smart contracts in blockchains have been increasingly used for high-value business applications. It is essential to check smart contracts' reliability before and after deployment. Although various program analysis and deep learning techniques have been proposed to detect vulnerabilities in eith...