摘要
为了更好地对网络行为进行分析,提出了一种基于数据流分析的网络行为检测方法。通过分析网络系统体系架构,对网络行为进行形式化建模,并针对网络行为特点提出了一种基于与或图的行为描述方法,最终设计实现了基于数据流分析的网络行为检测算法。实验证明该方法能在多项式时间内完成数据流事件中的关系分析,而且与其他算法相比,能有效提高网络行为检测的查准率。
To make a better analysis of network behavior,this paper proposed a method of network behavior detection based on data stream analysis. Firstly, it modeled network behavior into formalization by analyzing the network system architecture. And aiming at the characteristics of network behavior, it brought out an expression of network behavior on the and/or graph. Finally, it designed and implemented the network behavior detection algorithm based on data stream analysis. The experiment results show that the proposed algorithm can complete the analysis of the relationship between data stream events in polynomial time, and compared with the other algorithm, the algorithm can effectively improve the network behavior detection precision.
出处
《计算机应用研究》
CSCD
北大核心
2013年第12期3800-3803,共4页
Application Research of Computers
基金
国家"973"计划资助项目(2011CB311801)
河南省科技创新人才计划资助项目(114200510001)
关键词
网络数据流
数据流分析
网络行为
行为建模
network data stream
data stream analysis
network behavior
behavior modeling
