Securing Smart Contracts in Fog Computing: Machine Learning-Based Attack Detection for Registration and Resource Access Granting

T Ehsan, MU Sana, MU Ali, EC Montero… - IEEE …, 2024 - ieeexplore.ieee.org
Smart contracts are becoming increasingly popular for managing transactions or activities in
fog computing environments. However, the use of smart contracts for registration and …

Pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN

RG Pise, S Patil - International Journal of Information Security, 2024 - Springer
Smart contracts function like specialized computer programs on the blockchain. Many of
these contracts are on Ethereum, but sometimes these contracts have problems with …

A Novel Vulnerable Smart Contracts Profiling Method Based on Advanced Genetic Algorithm Using Penalty Fitness Function

S HajiHosseinKhani - 2024 - yorkspace.library.yorku.ca
With the advent of blockchain networks, there has been a transition from traditional contracts
to Smart Contracts (SCs), which are crucial for maintaining trust within these networks …

A Data-Driven Decision Model for Machine Learning Model Selection

L Steffens - 2024 - studenttheses.uu.nl
Context: Machine learning models are readily accessible and extensively utilized due to
their practical utility in predictive modeling tasks. Despite the consistent performance of …

Blockchain Smart Contract Fortification using Bytecode Analysis to Address Vulnerabilities

MA Lateef, A Kavitha - Computing, Communication and …, 2025 - books.google.com
Smart contracts and blockchain platforms have revolutionised various industries, offering
decentralised and transparent execution of agreements. However, they are not immune to …

[PDF][PDF] EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection

C Jiang, X Liu, S Wang, J Liu, Y Zhang - ijcai.org
Because of the wide deployment of smart contracts, smart contract vulnerabilities pose a
challenging risk to blockchain security. Currently, deep learning-based vulnerability …