基于深度强化学习的智能网络安全防护研究

Intelligent Cyber Security Defense based on Deep Reinforcement Learning

人工智能(Artificial Intelligence,AI)的快速发展为网络空间安全对抗提供了新的思路和技术手段,然而AI在网络安全领域的应用将加剧网络攻防对抗的速度、烈度、复杂度。通过研究基于深度强化学习的网络空间智能安全防护,探索了网络空间安全防御智能化问题的解决方法和过程。此外使用深度学习提取网络安全态势数据特征,构建智能体,回报函数将网络攻击威胁度作为奖惩引导学习,强化学习判断策略和动作好坏,通过在虚拟网络空间综合靶场训练学习获得安全防护智能体和最优安全防护策略。

The rapid development of artificial intelligence(AI)provides new methods and technologies for cyber confrontation.However,the application of AI in the field of cyber security will make the cyber confrontation faster,more drastic and more complex.By researching intelligent cyber security defense based on deep reinforcement learning,the solution methods and processes of cyberspace security defense intelligent problems are explored.This paper uses deep learning to extract features of cyber security situation data and build an agent.The reward function uses cyber threat level as a motivation to guide learning,and strengthens learning to judge the strategies and the actions are good or bad.It obtains security protection agent and optimal security policies by training on cyber range in cloud platform.