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入侵检测技术是一种主动保护自己免受攻击的网络安全技术,入侵检测系统处于防火墙之后,在不影响网络性能情况下对网络活动进行实时监测。传统的入侵检测系统面对海量的信息数据,不能及时有效地分析处理这些数据,而数据挖掘技术的运用正好能够满足入侵检测系统的要求,合理的分析数据,有效处理数据,本文设计了一个入侵检测模型,并改进了相关检测算法。
Intrusion detection technology is a kind of network security technology that proactively protects itself from attack. After the intrusion detection system is in the firewall, the network activity can be monitored in real time without affecting network performance. Traditional intrusion detection system can not analyze and process these data timely and effectively because of massive information data. However, the application of data mining technology can meet the requirements of intrusion detection system, analyze data reasonably and process data effectively. This paper designs an intrusion The model is tested and the correlation detection algorithm is improved.