Abstract
The smart contract is a self-executing code that is managed by blockchain nodes, providing coordination and enforcement framework for agreements between network participants. However, smart contracts are not particularly “smart” since the virtual machine (VM) does not support the running environment of machine learning. To make the smart contract smarter, we propose a decentralized blockchain oracle framework to support smart contract training the machine learning model. In view of malicious nodes which may attack the process of training, we propose a consensus algorithm to prevent the malicious attack from malicious nodes. At the end of this paper, we do an experiment on two datasets: MNIST and CIFAR10. The result shows that our framework can prevent malicious attack efficiently and keep high accuracy. With our proposed framework, smart contracts have an ability to train or call machine learning model, making a smart contracts “smarter”.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 62077015, No. U1811263 and No. 61772211), the Key-Area Research and Development Program of Guangdong Province, China (No. 2018B010109002) and the Science and Technology Project of Guangzhou Municipality, China (No. 201904010393), as well as the Guangzhou Key Laboratory of Big Data and Intelligent Education (No. 201905010009).
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Chen, S., Zhu, J., Lin, Z., Huang, J., Tang, Y. (2021). How to Make Smart Contract Smarter. In: Sun, Y., Liu, D., Liao, H., Fan, H., Gao, L. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2020. Communications in Computer and Information Science, vol 1330. Springer, Singapore. https://doi.org/10.1007/978-981-16-2540-4_54
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DOI: https://doi.org/10.1007/978-981-16-2540-4_54
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