摘要
网络数据流的分类方法研究是网络安全领域中一个重要的内容,而目前最可靠的网络应用数据流的识别方法是基于机器学习的识别方法,而提取出流特征值则是在整个识别过程中最重要的前提条件。重点阐述如何利用python这一直译式的程序设计语言提取统计数据包的特征值。
The method of network flow classification is an important aspect in the field of network security.At present,based machine learning identification method is the most reliable one for identifying network application data flow.And the most important prerequisite in the process of identifying is how to extract the flow characteristic attributes.This paper showed how to extract flow statistic attributes using Python.
出处
《计算机安全》
2011年第6期15-16,共2页
Network & Computer Security
关键词
PYTHON
流特征值
机器学习
Python
traffic characteristic attribute
machine learning
