Citation: | GAO Yichen, ZHAO Bin, ZHANG Zhao. Research and implementation of a smart automatic contract generation method for Ethereum[J]. Journal of East China Normal University (Natural Sciences), 2020, (5): 21-32. doi: 10.3969/j.issn.1000-5641.202091015 |
[1] |
SWAN M. Blockchain: Blueprint for a New Economy [M]. Sebastopol, California: O’Reilly Media, 2015.
|
[2] |
韩璇, 袁勇, 王飞跃. 区块链安全问题: 研究现状与展望 [J]. 自动化学报, 2019, 45(1): 206-225.
|
[3] |
ZHENG Z, XIE S, DAI H N, et al. Blockchain challenges and opportunities [J]. International Journal of Web and Grid Services, 2018, 14(4): 352-375.
|
[4] |
SZABO N. Formalizing and securing relationships on public networks [EB/OL]. [2017-07-19]. http://www.firstmonday.org/ojs/index.php/fm/article/view/548/469.
|
[5] |
丁亚雷. 基于长短期记忆模型的入侵检测系统的设计与实现 [D]. 南京: 东南大学, 2019.
|
[6] |
OMOHUNDRO S. Cryptocurrencies, smart contracts, and artificial intelligence [J]. AI Matters, 2014, 1(2): 19-21.
|
[7] |
ZHENG Z B, XIE S A, DAI H N, et al. An overview on smart contracts: Challenges, advances and platforms [J]. Future Generation Computer Systems, 2020, 105: 475-491.
|
[8] |
TIKHOMIROV S, VOSKRESENSKAYA E, IVANITSKIY I, et al. Smartcheck: Static analysis of ethereum smart contracts [C]// 2018 IEEE/ACM 1st International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB). Los Alamitos: IEEE, 2018: 9-16.
|
[9] |
胡凯. 智能合约的形式化验证方法 [J]. 信息安全研究, 2016, 2(12): 1080-1089.
|
[10] |
许芳芳. 基于DBSCAN优化算法的Web文本聚类研究 [D]. 上海: 华东师范大学, 2011.
|
[11] |
JÜRGEN S. Deep learning in neural networks: An overview [J]. Neural Networks, 2015, 61: 85-117.
|
[12] |
张孝慈. 递归神经网络模型的若干关键问题研究 [D]. 合肥: 中国科学技术大学, 2019.
|
[13] |
郝同安. 基于神经网络的代码自动生成技术的研究与应用 [D]. 北京: 北京邮电大学, 2019.
|