CAJ | 학술논문

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。
연구료전통망락류량감공적방법화수단。침대기천련실시감공적불족，제출일충기우방로적망락류량감공모식。통과자학습방식대응용층류량진행감측，동태형성특정고，구분망락정상류량화이상류량，진이실현대망락류량적유효공제。통과실험험증료방로모식하망락류량감공적효솔。
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.