Results 281 to 290 of about 1,414,439 (309)

Smart Contracts

2022
This chapter looks beyond the novelty of self-executing ‘smart contracts’ in blockchain networks and explores developments against the background fact that commercial parties have, for centuries, used documentary credit to simulate autonomous performance. Blockchain-based smart contracts and documentary credit share three core functionalities which are
  +4 more sources

SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode

arXiv.org
Smart contracts deployed on blockchain platforms are vulnerable to various security vulnerabilities. However, only a small number of Ethereum contracts have released their source code, so vulnerability detection at the bytecode level is crucial.
Jiuyang Bu, Wenkai Li, Zongwei Li, Zeng Zhang, Xiaoqi Li   +4 more
semanticscholar   +1 more source

Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0

International Journal of Production Research, 2022
The production control for the mass individualisation paradigm of R&D-stage products is challenging due to the mix-flow and frequently-disturbed environment.
Jiewu Leng, W. Sha, Zisheng Lin, Jianbo Jing, Qiang Liu, Xin Chen   +5 more
semanticscholar   +1 more source

Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications

International Conference on Software Engineering
Smart contracts are decentralized applications built atop blockchains like Ethereum. Recent research has shown that large language models (LLMs) have potential in auditing smart contracts, but the state-of-the-art indicates that even GPT-4 can achieve ...
Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu   +7 more
semanticscholar   +1 more source

SCVHUNTER: Smart Contract Vulnerability Detection Based on Heterogeneous Graph Attention Network

International Conference on Software Engineering
Smart contracts are integral to blockchain's growth, but their vulnerabilities pose a significant threat. Traditional vulnerability detection methods rely heavily on expert-defined complex rules that are labor-intensive and difficult to adapt to the ...
Feng Luo, Ruijie Luo, Ting Chen, Ao Qiao, Zheyuan He, Shuwei Song, Yu Jiang, Sixing Li   +7 more
semanticscholar   +1 more source

On Identity, Transaction, and Smart Contract Privacy on Permissioned and Permissionless Blockchain: A Comprehensive Survey

ACM Computing Surveys
Blockchain is a decentralized distributed ledger that combines multiple technologies, including chain data structures, P2P networks, consensus algorithms, cryptography, and smart contracts.
Wei Liang, Yaqin Liu, Ce Yang, Songyou Xie, Kuan Ching Li, Willy Susilo   +5 more
semanticscholar   +1 more source

Improving Smart Contract Security with Contrastive Learning-Based Vulnerability Detection

International Conference on Software Engineering
Currently, smart contract vulnerabilities (SCVs) have emerged as a major factor threatening the transaction security of blockchain. Existing state-of-the-art methods rely on deep learning to mitigate this threat.
Yizhou Chen, Zeyu Sun, Zhihao Gong, Dan Hao   +3 more
semanticscholar   +1 more source

Smart Contract Vulnerability Detection: The Role of Large Language Model (LLM)

ACM SIGAPP Applied Computing Review
Smart contracts are susceptible to various vulnerabilities that can lead to significant financial losses. The usage of tools for vulnerabilities is reducing the threats but presents some limitations related to the approach used by the tool itself.
Biagio Boi, Christian Esposito, Sokjoon Lee   +2 more
semanticscholar   +1 more source

ExGen: Cross-platform, Automated Exploit Generation for Smart Contract Vulnerabilities

IEEE Transactions on Dependable and Secure Computing, 2023
Smart contracts, just like other computer programs, are prone to a variety of vulnerabilities, which lead to severe consequences including massive token and coin losses.
Ling Jin, Yinzhi Cao, Yan Chen, Di Zhang, Simone Campanoni   +4 more
semanticscholar   +1 more source

Interpretation of Contracts and Smart Contracts: Smart Interpretation or Interpretation of Smart Contracts?

European Review of Private Law, 2018
Abstract: The computer language (computer code) on the basis of which smart contracts are written is different from the natural (Human) language. Computer language is a ‘dry’ language, whereas natural language is ‘wet’. In other words, it means that computer language is deterministic (just one meaning and one result are conceivable), when natural ...
openaire   +1 more source