摘要
研究了传统网络流量监控的方法和手段。针对其串联实施监控的不足,提出一种基于旁路的网络流量监控模式。通过自学习方式对应用层流量进行监测,动态形成特征库,区分网络正常流量和异常流量,进而实现对网络流量的有效控制。通过实验验证了旁路模式下网络流量监控的效率。
Researched and analyzed the traditional network flow monitoring method and means, According to the deficiency of tandem monitor, the paoer proposed a network traffic monitor pattern based no bypass. Through self-learning, it monitors the application layer flow, and dynamic forming feature library, distinguishing network normal flow and abnormal flow, and then realizing the effective control of network flow. And it proves bypass pattern network flow monitoring efficiency.
出处
《重庆理工大学学报(自然科学)》
CAS
2011年第9期63-69,共7页
Journal of Chongqing University of Technology:Natural Science
基金
福建省教育厅A类科技项目(JA10272)
武夷学院海西科技项目(XH201004)
关键词
旁路模式
流量控制
系统实现
bypass pattern
flow control
system implementation