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
本文基于人工智能的入侵检测与预警系统展开研究,旨在提高网络安全水平.通过对现有入侵检测技术的分析,探讨了传统方法存在的局限性,引出了人工智能技术的必要性.结合机器学习和深度学习技术,设计了一种基于行为分析的入侵检测模型,能够实时监测网络流量并识别异常行为.最后,通过实验验证了该系统在入侵检测和预警方面的有效性,证明了人工智能在网络安全领域的巨大潜力.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据