Research on Optimization of Network Intrusion Detection System Based on Deep Reinforcement Learning
Jiangang Tang, Haoshun Cao, Qifei Zhu · 2025
This paper discusses the application of deep reinforcement learning in network intrusion detection system and its optimization strategy. By analyzing the challenges faced by the existing intrusion detection systems, this paper proposes an optimization model based on deep reinforcement learning, which aims to improve the accuracy and real-time performance of detection. Experimental results show that the performance of the proposed model is significantly better than that of traditional methods in a variety of network environments.