Author(s)

Chen Xinpeng ¹

Affiliation(s)

¹ Hubei Minzu University, Enshi, Hubei, China

Corresponding Author

Chen Xinpeng

ABSTRACT

This paper discusses the application and challenges of artificial intelligence intrusion detection system in the field of network security, and puts forward the corresponding optimization countermeasures. The introduction of artificial intelligence technology to provide new solutions for intrusion detection system, but still faces challenges in various applications, for these problems using advanced AI algorithm improve detection accuracy, optimize data processing process to improve real-time, enhance system adaptability and self-learning ability and cost benefit analysis and resource optimization optimization countermeasures. The implementation of these countermeasures will help to improve the overall performance of the AI intrusion detection system and provide a more reliable guarantee for network security.

KEYWORDS

Artificial intelligence; intrusion detection system; detection accuracy; real-time performance

CITE THIS PAPER

Chen Xinpeng, Research on the Optimization of Intrusion Detection System Based on Artificial Intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 67-72. DOI: http://dx.doi.org/10.23977/jaip.2025.080109.

REFERENCES

[1] Zhou Mengmeng. Research on the design of communication network intrusion detection system Based on Artificial Intelligence [J]. Information recording materials, 2023, 24 (12): 192-194.
[2] Yao Hong. Design of communication network-intrusion detection system Based on artificial intelligence [J]. Network Security and informatization, 2023 (9): 54-56.
[3] Shen Rongrong. Design of computer network intrusion detection method based on artificial intelligence technology [J]. Yangtze River Information and Communication, 2023, 36 (5): 127-129.
[4] Tan Qinhong, Tian Yingxin. Design of communication network-intrusion detection system Based on artificial intelligence [J]. Yangtze River Information and Communication, 2022, 35 (12): 189-191.
[5] Yuan Xiaogui. Application of artificial intelligence system in communication network intrusion detection technology [J]. Information and Computer, 2023, 35 (9): 176-178. 

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