基于SVM主动学习和数据融合的入侵检测系统的研究

入侵检测技术是继＂防火墙＂、＂数据加密＂等传统安全保护措施后的新一代安全保障技术。随着病毒木马越来越猖獗、越来巧妙,人们迫切需要一个既能节约资源方便操作又能保障系统安全性能的入侵检测系统。文章给出了一种与传统入侵检测系统不同的基于SVM主动学习和数据融合的入侵检测系统。在文章中,首先提出了传统入侵检测系统存在的问题和一种新型入侵检测系统的需要,然后回顾了IDS、SVM、主动学习及数据融合的相关背景知识,最后给出新型入侵检测系统的模型及改进的算法实现。

Research on Intrusion Detection System Based on Support Vector Machine Active Learning and Data Fusion

The intrusion detection technology is a new security technology,apart from traditional security protecting technology such as firewall and data encryption.As the viruses and trojans become more and more rampant and ingenious,people urgently need an intrusion detection system IDS which can ensure the security of the system powerfully.This paper brings forth new ideas of IDS based on support vector machine active learning and data fusion which is completely different from tranditional IDSs.This paper first di...