摘要
针对机器学习中生成对抗网络（GAN）在信息安全领域的主要应用发展进行了梳理，进一步对GAN在密码学未来的研究内容和应用方向进行了科学问题归纳，并分别进行了分析阐述，为后续研究者提供有价值的理论参考。
The main applications and developments of generative a dversarial nets in informa- tion security are concluded. Then, some key problems such as the future feasible research contents and applications are concluded and analyzed for the first time. Besides, each future study direction is analyzed and summarized in detail, so as to provide valuable theoretical reference for the follow-up researchers.
作者
汪晶晶
WANG Jingjing(1. Key Lab of Networks2. Information Security of PAP, College of Cryptographic Engineering, Engineering University of PAP, Xiran 710086, Chin)
出处
《武警工程大学学报》
2018年第2期53-57,共5页
Journal of Engineering University of the Chinese People＇s Armed Police Force
基金
武警工程大学基础基金项目“大数据条件下数据安全与隐私防护技术研究”（WJY201521）
关键词
GAN
机器学习
信息安全
密码学
generative adversarial dets
machine learning
information security
cryptography
