Researchers currently have been focusing on smart contract vulnerability detection, but we find that developers' intent to write smart contracts is a more noteworthy security concern because smart contracts with malicious intent have caused significant financial loss to users. A more unfortunate fact is that we can only rely on manual audits to check for unfriendly smart contracts. In this paper, we propose \textsc{SmartIntentNN}, Smart Contract Intent Neural Network, a deep learning-based tool that aims to automate the process of developers' intent detection in smart contracts, saving human resources and overhead. The demo video is available on \url{https://youtu.be/ho1SMtYm-wI}.
翻译:目前,研究人员一直关注智能合同脆弱性检测,但我们发现,开发商签订智能合同的意图是一个更值得注意的安全问题,因为恶意的智能合同给用户造成了巨大的财政损失。更不幸的是,我们只能依靠人工审计来检查不友好的智能合同。在本文中,我们建议“智能合同内在神经网络 ” ( Smart Contract IntentNNN), 智能合同内在神经网络, 这是一种深层次的学习工具, 旨在将开发商在智能合同中检测意向的过程自动化, 节省人力资源和间接费用。 演示视频可在\url{https://youtu.be/ho1SMtYm-wI}上查阅。