面向上下文图形可视化挖掘企业网络行为

在企业分布式网络系统中,精确、动态地发现用户的网络行为日益具有挑战性。目前网络管理系统主要依赖于对用户身份的推理来进行网络行为管理,此类方法由于所收集到的数据缩放比粗糙,从而在大规模的网络环境下不能精确地对网络行为进行挖掘、发现和管理。对主机、用户、应用程序等网络上下文内容进行可视化挖掘,为动态地进行网络管理提供了重要帮助。

Finding Enterprise Network Behavior Through the Context of Graph Visual Mining

In the enterprise distributed network system,it is becoming increasingly challenging to accurately and dynamically identify who is doing what.The current network management system mainly relies on the identity of the users reasoning.This method cannot precisely mine,find and manage the network behavior in the large scale of the network because of the rough scale of collected data.This paper discovers the content and the dynamic process for network management of host,users and applications,which provides an important help to network context visual mining.