摘要
本文提出了一种新的基于FADT(自主快速决策树构建)的入侵检测系统模型,该模型主要使用了Hoelfding树算法,具有增量学习的特点,能应用于高速宽带网络环境下的信息系统的防护。详细介绍了该系统的核心模块-自适应模型构建模块的算法过程,并对该模型的性能进行了评价。
A new model for intrusion detection system is introduced in this paper, which mainly use the Hoelfding tree methodology charactered with increment mining, and can be applied in the field of the protection of information system for fast broadband net. The paper focuses on the key procedure of self-adapting module construction methodology, and finally gives an evaluation.
出处
《网络安全技术与应用》
2004年第12期43-45,共3页
Network Security Technology & Application
