Ethereum smart contract analysis tools: A systematic review

SS Kushwaha, S Joshi, D Singh, M Kaur, HN Lee - Ieee Access, 2022 - ieeexplore.ieee.org
Blockchain technology and its applications are gaining popularity day by day. It is a ground-
breaking technology that allows users to communicate without the need of a trusted …

Sok: Security and privacy of blockchain interoperability

A Augusto, R Belchior, M Correia… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Recent years have witnessed significant advancements in cross-chain technology.
However, the field faces two pressing challenges. On the one hand, hacks on cross-chain …

When chatgpt meets smart contract vulnerability detection: How far are we?

C Chen, J Su, J Chen, Y Wang, T Bi, J Yu… - ACM Transactions on …, 2023 - dl.acm.org
With the development of blockchain technology, smart contracts have become an important
component of blockchain applications. Despite their crucial role, the development of smart …

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 …

Combine sliced joint graph with graph neural networks for smart contract vulnerability detection

J Cai, B Li, J Zhang, X Sun, B Chen - Journal of Systems and Software, 2023 - Elsevier
Smart contract security has drawn extensive attention in recent years because of the
enormous economic losses caused by vulnerabilities. Even worse, fixing bugs in a deployed …

SmartDagger: a bytecode-based static analysis approach for detecting cross-contract vulnerability

Z Liao, Z Zheng, X Chen, Y Nan - Proceedings of the 31st ACM …, 2022 - dl.acm.org
With the increasing popularity of blockchain, automatically detecting vulnerabilities in smart
contracts is becoming a significant problem. Prior research mainly identifies smart contract …

xfuzz: Machine learning guided cross-contract fuzzing

Y Xue, J Ye, W Zhang, J Sun, L Ma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Smart contract transactions are increasingly interleaved by cross-contract calls. While many
tools have been developed to identify a common set of vulnerabilities, the cross-contract …

Review of automated vulnerability analysis of smart contracts on Ethereum

H Rameder, M Di Angelo, G Salzer - Frontiers in Blockchain, 2022 - frontiersin.org
Programs on public blockchains often handle valuable assets, making them attractive
targets for attack. At the same time, it is challenging to design correct blockchain …

A systematic literature review on blockchain-based systems for academic certificate verification

A Rustemi, F Dalipi, V Atanasovski, A Risteski - IEEE Access, 2023 - ieeexplore.ieee.org
In the past few years, there has been significant progress made in the area of blockchain.
The use of blockchain technology has the potential to revolutionize the educational system …

Park: accelerating smart contract vulnerability detection via parallel-fork symbolic execution

P Zheng, Z Zheng, X Luo - Proceedings of the 31st ACM SIGSOFT …, 2022 - dl.acm.org
Symbolic detection has been widely used to detect vulnerabilities in smart contracts.
Unfortunately, as reported, existing symbolic tools cost too much time, since they need to …