摘要
文章在对现有入侵检测系统所存在不足进行分析的基础上,提出了一个基于神经网络技术的网络入侵检测系统模型,运用神经网络所特有的自学习、自组织能力,弥补现有入侵检测系统所存在的不足。
The paper presents a Neural Network-Based network intrusion detection model based on the demerit analysis of modern IDSs. The model makes use of the self-learning, self-organizing characteristics of neural networks , so as to reduce the demerits of modern intrusion detection systems.
出处
《计算机工程与科学》
CSCD
2003年第6期28-31,共4页
Computer Engineering & Science
