Intelligent penetration testing method and system based on deep reinforcement learning

The invention provides an intelligent penetration testing method and system based on deep reinforcement learning, and belongs to the technical field of penetration testing. According to the method, state space representation is carried out based on a text embedding technology, penetration test action decision is carried out based on deep reinforcement learning, automatic load calling is carried out based on a Metasploit database, learning training can be realized in a diversified target drone environment, and decision ability evolution of an intelligent agent can be realized in an iterative training process. 本发明提出一种基于深度强化学习的智能化渗透测试方法与系统，属于渗透测试技术领域。本发明基于文本嵌入技术进行状态空间表征，基于深度强化学习进行渗透测试动作决策，基于Metasploit数据库进行载荷自动调用，可在多样化的靶机环境下实现学习训练，智能体可在迭代训练过程中实现决策能力进化。