MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings

MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings

Smart contracts are increasingly used with blockchain systems for high-value applications. It is highly desired to ensure the quality of smart contract source code before they are deployed. This paper proposes a new deep learning-based tool, MANDO-GURU, that aims to accurately detect vulnerabilities...

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Bibliographic Details
Main Authors: NGUYEN, Huu Hoang, NGUYEN, Nhat Minh, DOAN, Hong-Phuc, AHMADI, Zahrai, DOAN, Thanh Nam, JIANG, Lingxiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Heterogeneous graphs
Graph neural networks
Vulnerability detection
Smart contracts
Ethereum blockchain
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/7644
https://ink.library.smu.edu.sg/context/sis_research/article/8647/viewcontent/fse22mandoDemo.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7644
https://ink.library.smu.edu.sg/context/sis_research/article/8647/viewcontent/fse22mandoDemo.pdf

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