Ethereum quietly sets a record: 8.7M contracts deployed in one quarter

Ethereum set a quarterly record with 8.7 million smart contracts deployed in Q4 2025, driven by RWAs, stablecoins and ...
IEEE

Smart Contract Reentry Vulnerability Detection Based on Federated Learning

Abstract: A federated learning based smart contract reentry vulnerability detection method is proposed to address the issues of multiple data sources and data privacy in existing smart contract ...
IEEE

Two-Stage Smart Contract Vulnerability Detection Combining Semantic Features and Graph Features

Abstract: Smart contract vulnerability detection is an important security practice aimed at identifying and fixing potential vulnerabilities. This detection technique involves using static and dynamic ...
IEEE

Smart Contract Vulnerabilities and Detection Methods: A Survey

Abstract: Smart contracts are fundamental to blockchain technology, enabling automated contract execution without intermediaries. Their widespread adoption, particularly on platforms like Ethereum, ...
IEEE

Enhanced Smart Contract Vulnerability Detection via Graph Neural Networks: Achieving High Accuracy and Efficiency

Abstract: As blockchain technology becomes prevalent, smart contracts have shown significant utility in finance and supply chain management. However, vulnerabilities in smart contracts pose serious ...
IEEE

BPMN-LLM: Transforming BPMN Models Into Smart Contracts Using Large Language Models

Abstract: “Law is code” is pivotal for advancing the intelligent judiciary. This article proposes a business process modeling notation-large language model (BPMN-LLM), which transforms BPMN models of ...
decrypt

Frontier AI Models Demonstrate Human-Level Capability in Smart Contract Exploits

Anthropic tested ten AI models on 405 historical smart contract exploits and reproduced 207 of them. Three models generated $4.6 million in simulated exploits on contracts created after their training ...