Vulnerability detection techniques for smart contracts: A systematic literature review

FR Vidal, N Ivaki, N Laranjeiro - Journal of Systems and Software, 2024 - Elsevier
The number of applications supported by blockchain smart contracts has been greatly
increasing in recent years, with smart contracts now being used across several domains …

Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts

Y Fang, D Wu, X Yi, S Wang, Y Chen, M Chen… - Proceedings of the …, 2023 - dl.acm.org
A smart contract is a piece of application-layer code running on blockchain ledgers and it
provides programmatic logic via transaction-based execution of pre-defined functions. Smart …

[HTML][HTML] Ethereum Smart Contract Vulnerability Detection and Machine Learning-Driven Solutions: A Systematic Literature Review

R Kiani, VS Sheng - Electronics, 2024 - mdpi.com
In recent years, emerging trends like smart contracts (SCs) and blockchain have promised to
bolster data security. However, SCs deployed on Ethereum are vulnerable to malicious …

Empirical Study of Move Smart Contract Security: Introducing MoveScan for Enhanced Analysis

S Song, J Chen, T Chen, X Luo, T Li, W Yang… - Proceedings of the 33rd …, 2024 - dl.acm.org
Move, a programming language for smart contracts, stands out for its focus on security.
However, the practical security efficacy of Move contracts remains an open question. This …

A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning

N Shiri Harzevili, A Boaye Belle, J Wang… - ACM Computing …, 2023 - dl.acm.org
In recent years, numerous Machine Learning (ML) models, including Deep Learning (DL)
and classic ML models, have been developed to detect software vulnerabilities. However …

Vulnerability Detection in Smart Contracts: A Comprehensive Survey

C De Baets, B Suleiman, A Chitizadeh… - arXiv preprint arXiv …, 2024 - arxiv.org
In the growing field of blockchain technology, smart contracts exist as transformative digital
agreements that execute transactions autonomously in decentralised networks. However …

The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Review

T Liu, Y Wang, J Sun, Y Tian, Y Huang, T Xue… - arXiv preprint arXiv …, 2024 - arxiv.org
As blockchain technology rapidly evolves, the demand for enhanced efficiency, security, and
scalability grows. Transformer models, as powerful deep learning architectures, have shown …

Graph representation learning for security analytics in decentralized software systems and social networks

HH Nguyen - 2024 - repo.uni-hannover.de
With the rapid advancement in digital transformation, various daily interactions, transactions,
and operations typically depend on extensive network-structured systems. The inherent …

[PDF][PDF] The Journal of Systems & Software

FR Vidal, N Ivaki, N Laranjeiro - researchgate.net
The number of applications supported by blockchain smart contracts has been greatly
increasing in recent years, with smart contracts now being used across several domains …