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基于人工智能的入侵检测与预警系统研究

鲍剑飞

数码设计Issue(8):87-89,3.
数码设计Issue(8):87-89,3.

基于人工智能的入侵检测与预警系统研究

Research on Intrusion Detection and Early Warning System Based on Artificial Intelligence

鲍剑飞1

作者信息

  • 1. 和普威视光电股份有限公司,济南 250100
  • 折叠

摘要

Abstract

In this paper,the research of intrusion detection and early warning system based on artificial intelligence is carried out,aiming at improving the level of network security.By analyzing the existing intrusion detection technology,the limitations of traditional methods are discussed,and the necessity of artificial intelligence technology is introduced.Combining machine learning and deep learning techniques,an intrusion detection model based on behavioral analysis is designed,which can monitor network traffic and identify abnormal behaviors in real time.Finally,the effectiveness of the system in intrusion detection and early warning is verified through experiments,proving the great potential of artificial intelligence in the field of network security.

关键词

人工智能/入侵检测/预警系统/网络安全/深度学习

Key words

artificial intelligence/intrusion detection/early warning system/network security/deep learning

分类

信息技术与安全科学

引用本文复制引用

鲍剑飞..基于人工智能的入侵检测与预警系统研究[J].数码设计,2024,(8):87-89,3.

数码设计

1672-9129

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