摘要
设计一个基于数据挖掘技术的入侵检测系统模型。该模型针对现有入侵检测系统在处理大量数据时,挖掘速度慢,自适应能力差的缺点,引入数据挖掘技术使其能从大量数据中发现入侵特征和模式。介绍其核心模块工作流程。实验结果表明该模型不仅能有效提高系统的检测速度,降低误报率,同时还能有效检测新的入侵行为。
The paper designs an intrusion detection system model based on data mining technology.Since the current intrusion detection system has weaknesses such as the lower speed in mining and the weakness in the self-adaptation ability, this paper constructs an intrusion detection system model based on the data mining technology.After introducing the technology,the intrusion detection system finds the intrusion characteristics and its pattern.The paper introduces its essential working part. The experimental results show that the model not only improves the detection speech of the system efficiently and cuts down the rate of false alarms, but also detects the new instruction behavior.
出处
《电子设计工程》
2009年第8期3-5,共3页
Electronic Design Engineering
关键词
入侵检测
自适应
数据挖掘
系统模型
intrusion detection
self-adaptation
data mining
system model
