摘要
分析了异常和误用入侵检测技术存在的一些问题,并结合神经网络的原理,提出了一个新的基于Hamm ing网络的入侵检测技术。该技术改善了基于特征检测算法中存在的不足,提高了对未知入侵类型的检测能力,并对Hamm ing网络入侵检测技术进行了分析和测试。
In the paper,with analyzing many existing questions of Anomaly and Misuse intrusion detection techniques,a new network intrusion detection technique is put forward, based on Hamming network, which coupled with neural network design principles. This technique can improve the existing insufficiencies of the signature-based detection algorithm, and also do well in detecting unknown intrusions. We also analyzed and tested the Hamming network intrusion detection technique in the remainder of the paper.
出处
《计算机应用与软件》
CSCD
北大核心
2006年第5期128-130,共3页
Computer Applications and Software
