摘要
针对入侵检测系统在实时检测能力和自适应能力方面的不足,提出了一个改进的贝叶斯分类器,通过引入滑动窗口技术改善入侵检测的实时性。同时通过所设计的性能调节器对贝叶斯分类器中参数的动态设置,实现了入侵检测系统的自适应性。改进后的贝叶斯分类器有效地实现了入侵检测的实时性、主动性和自适应性。
Aimed at the deficiency between real-time defect and auto adjust of intrusion detection system, an improved Bayesian classifier is implemented. The skipping window technology, is used to reform the reaction time of the IDS, and at the same time it can auto adjust the system parameters to reform the running performance of the IDS by using the designed performance adjuster. Improved Bayesian classifier can effectively reform the ability of the real-time, active and auto adjust of IDS.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第16期4177-4179,共3页
Computer Engineering and Design
关键词
网络安全
贝叶斯分类器
入侵检测
实时
自动调整
security of network
Bayesian classifier
intrusion detection
real-time
auto adjust
