An increasing number of artificial intelligence techniques are being applied to computer network security detection, so many academics have researched and analyzed this.The main aim of machine learning with the utilization of artificial intelligence in cybersecurity was to make the malware detection process more actionable, extensible, and valid than conventional methods because traditional methods required human intervention, and the network security field involved challenges of AI, which required efficient methods and theoretical processing [10].Sarker Iqbal H found that DL derived from artificial neural networks was one of the main techniques for intelligent network security systems or policies to operate intelligently today.Li Jian-hua believed that there was a broad, interdisciplinary intersection between network security and AI. Therefore, the AI model needs specific network security defense and protection technologies to combat adversarial machine learning and maintain privacy in machine learning to ensure the security of joint learning [9].