The development of Internet and social media contributes to multiplying the data produced on the Internet and the connected nodes, but the default installation and the configuration of variety of software systems represent some security holes and shortcomings, while the majority of Internet users have not really set up safety awareness, leading to huge security risks. With the development of network attack techniques, every host on the Internet has become the target of attacks. Therefore, the network information security cannot be ignored as a problem. To deal with 0-day and future attacks, the honeypot technique can be used not only passively as an information system, but also to reinforce the traditional defense systems against future attacks. In this paper, we present an introduction of machine learning and honeypot systems, and based on these technologies, we design a smart agent for cyber-attack prevention and prediction.

中文翻译：

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基于蜜罐和机器学习的网络安全智能代理设计

Internet和社交媒体的发展有助于增加Internet和连接的节点上产生的数据，但是默认安装和各种软件系统的配置存在一些安全漏洞和缺点，而大多数Internet用户并未真正设置提高安全意识，导致巨大的安全风险。随着网络攻击技术的发展，Internet上的每个主机都已成为攻击的目标。因此，网络信息安全性不容忽视。为了应对0天和未来的攻击，蜜罐技术不仅可以被动地用作信息系统，而且可以增强传统的防御系统以抵御未来的攻击。在本文中，我们介绍了机器学习和蜜罐系统，