Research on Network Security Automatic Protection Technology Based on Artificial Intelligence

DOI: https://doi.org/10.62517/jbdc.202601303

Author(s)

Fengzhi Tao

Affiliation(s)

Zibo Polytechnic University, Zibo, Shandong, China

Abstract

With the continuous expansion of network application scenarios and the continuous upgrading of cyber attack means, traditional manual and static network security protection methods can no longer adapt to complex and changeable cyber threat environments. This study aims to solve the problems of low efficiency, poor real-time performance and weak adaptability of existing network security protection systems. It adopts literature analysis, technical framework construction and theoretical demonstration methods to sort out the application logic of artificial intelligence in network security fields. This paper analyzes the practical defects of traditional protection technologies, constructs an intelligent automatic protection system covering threat perception, identification and active response, and verifies the technical applicability of AI-driven network security defense. The research results show that artificial intelligence technology can effectively improve the automation level and threat response efficiency of network security protection, providing reliable technical support for modern network security risk prevention and control.

Keywords

Artificial Intelligence; Network Security; Automatic Protection; Threat Defense; Intelligent Perception

References

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