摘要
在大规模网络系统中,精确识别谁在做什么具有挑战性。目前的网络管理系统主要采取对用户身份推理,此类方法由于收集的数据粗糙,因此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。采取对主机、用户、应用程序和数据访问等网络上下文内容进行可视化挖掘,从而为网络管理过程的动态化提供了重要帮助。
In the large-scale network system, to accurately identify who are doing is increasingly challenge. The current network management system relies on the identity of the users reasoning, this kind of method because of the collected data rough, so in the scale of the network environment cannot precisely make network behavior mining, found and management. To host, users, appli- cations and data access and soon, network context visual mining is made, and finds the content, so that provides an important help to the dynamic network mantmement orocess.
出处
《计算机与现代化》
2012年第3期143-146,共4页
Computer and Modernization
基金
安徽省高职高专院校专业带头人(皖教秘人〔2011〕2号)
