Combining graph neural networks with expert knowledge for smart contract vulnerability detection

Z Liu, P Qian, X Wang, Y Zhuang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Smart contract vulnerability detection draws extensive attention in recent years due to the
substantial losses caused by hacker attacks. Existing efforts for contract security analysis …

[PDF][PDF] Smart contract vulnerability detection using graph neural networks

Y Zhuang, Z Liu, P Qian, Q Liu, X Wang, Q He - Proceedings of the Twenty …, 2021 - ijcai.org
The security problems of smart contracts have drawn extensive attention due to the
enormous financial losses caused by vulnerabilities. Existing methods on smart contract …

Smart contract vulnerability detection: from pure neural network to interpretable graph feature and expert pattern fusion

Z Liu, P Qian, X Wang, L Zhu, Q He, S Ji - arXiv preprint arXiv:2106.09282, 2021 - arxiv.org
Smart contracts hold digital coins worth billions of dollars, their security issues have drawn
extensive attention in the past years. Towards smart contract vulnerability detection …

Peculiar: Smart contract vulnerability detection based on crucial data flow graph and pre-training techniques

H Wu, Z Zhang, S Wang, Y Lei, B Lin… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
Smart contracts with natural economic attributes have been widely and rapidly developed in
various fields. However, the bugs and vulnerabilities in smart contracts have brought huge …

Deescvhunter: A deep learning-based framework for smart contract vulnerability detection

X Yu, H Zhao, B Hou, Z Ying… - 2021 International Joint …, 2021 - ieeexplore.ieee.org
Security attacks in smart contracts have drawn extensive attention due to the financial loss
and erosion of trust caused by vulnerabilities. Even worse, smart contract is a tamper proof …

Contractward: Automated vulnerability detection models for ethereum smart contracts

W Wang, J Song, G Xu, Y Li, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Smart contracts are decentralized applications running on Blockchain. A very large number
of smart contracts has been deployed on Ethereum. Meanwhile, security flaws of contracts …

CodeNet: Code-targeted convolutional neural network architecture for smart contract vulnerability detection

SJ Hwang, SH Choi, J Shin, YH Choi - IEEE Access, 2022 - ieeexplore.ieee.org
A smart contract is a computer program which is automatically executed with some
conditional statements such as “if/then”. Since smart contracts can include some vulnerable …

Escort: ethereum smart contracts vulnerability detection using deep neural network and transfer learning

O Lutz, H Chen, H Fereidooni, C Sendner… - arXiv preprint arXiv …, 2021 - arxiv.org
Ethereum smart contracts are automated decentralized applications on the blockchain that
describe the terms of the agreement between buyers and sellers, reducing the need for …

When gpt meets program analysis: Towards intelligent detection of smart contract logic vulnerabilities in gptscan

Y Sun, D Wu, Y Xue, H Liu, H Wang, Z Xu, X Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
Smart contracts are prone to various vulnerabilities, leading to substantial financial losses
over time. Current analysis tools mainly target vulnerabilities with fixed control or dataflow …

Towards automated reentrancy detection for smart contracts based on sequential models

P Qian, Z Liu, Q He, R Zimmermann, X Wang - IEEE Access, 2020 - ieeexplore.ieee.org
In the last decade, smart contract security issues lead to tremendous losses, which has
attracted increasing public attention both in industry and in academia. Researchers have …