基于入侵监测的网络信息安全管理技术

针对网络安全面临非法入侵威胁、实时防御性差的问题,文中研究和分析了基于入侵监测的网络信息安全管理技术。通过在现有网络模型中增加入侵监测模块,将网络信息采集、信息处理和信息分析3个模块相结合进行入侵监测。为提升入侵监测的准确率,利用基于数据降维的决策树方法对异常数据进行识别,有效实现不同类型的异常数据监测。系统验证表明,所提出的入侵监测方法对于不同类型的入侵均有较好的监测效果,比现有算法提高了约8%。

Network Information Security Management Technology Based on Intrusion Monitoring

In view of the problem that network security faces the threat of illegal intrusion and poor real-time defense, this paper designed a network information security management technology based on Intrusion monitoring. By adding intrusion monitoring module to the existing network model, the three modules of network information acquisition, information processing and information analysis were combined for intrusion monitoring. In order to improve the accuracy of intrusion monitoring, this paper used the decision tree method based on data dimension reduction to identify abnormal data, and effectively realizes different types of abnormal data monitoring. The system validation showed that the intrusion detection method proposed in this paper had a good monitoring effect for different types of intrusions, and had an improvement of more than 8% compared with the existing algorithms.