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NETWORK BEHAVIOR DATA COLLECTION AND ANALYTICS FOR ANOMALY DETECTION

机译:网络行为数据收集和异常检测分析

摘要

In one embodiment, a method includes receiving at an analytics module operating at a network device, network traffic data collected from a plurality of sensors distributed throughout a network and installed in network components to obtain the network traffic data from packets transmitted to and from the network components and monitor network flows within the network from multiple perspectives in the network, processing the network traffic data at the analytics module, the network traffic data comprising process information, user information, and host information, and identifying at the analytics module, anomalies within the network traffic data based on dynamic modeling of network behavior. An apparatus and logic are also disclosed herein.
机译:在一个实施例中,一种方法包括在网络设备处运行的分析模块处接收从分布在整个网络中并安装在网络组件中的多个传感器收集的网络流量数据,以从向网络和从网络传输的分组中获取网络流量数据。组件并从网络中的多个角度监视网络内的网络流,在分析模块处处理网络流量数据,网络流量数据包括过程信息,用户信息和主机信息,并在分析模块处识别网络中的异常基于网络行为动态建模的网络流量数据。本文还公开了一种装置和逻辑。

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