一种基于数据挖掘的分布式入侵检测模型

Distributed Model of Intrusion Detection System Based on Data Mining

入侵检测系统是一种保护网络免受黑客攻击的网络安全技术。为更有效的适应网络计算模式的发展与挑战,在实时性、有效性、可扩充性、准确性等方面进行改进,将数据挖掘的思想应用于入侵检测,提出了一种分布式的实时入侵检测系统模型。

Intrusion detection system,which can prevent network from being attacked by hackers,is an important network security technology .To cope with the development of network computing model more efficiently, This paper improve IDS properties from real-time requirement, efficiency, extensibility and accuracy, use data mining to construct IDS, put forward a kind of distributed and real-time intrusion detection system model.