发明名称 TECHNOLOGIES FOR DYNAMIC NETWORK ANALYSIS AND PROVISIONING
摘要 Technologies for performing network analysis of a network include a network analytics node to determine one or more features of network traffic of the network. Each feature includes indexes associated with a link property, a protocol, and a time property. The network analytics node monitors the network traffic of the network based on the one or more features and generates one or more observation vectors. Each observation vector includes a plurality of the one or more features based on the monitored network traffic. The network analytics node performs a statistical network analysis of the network traffic based on the generated one or more observation vectors to generate a probabilistic model of the network traffic.
申请公布号 US2016285704(A1) 申请公布日期 2016.09.29
申请号 US201514671326 申请日期 2015.03.27
申请人 Gasparakis Iosif;Kounavis Michael 发明人 Gasparakis Iosif;Kounavis Michael
分类号 H04L12/26 主分类号 H04L12/26
代理机构 代理人
主权项 1. A network analytics node for performing network analysis of a network, the network analytics node comprising: a feature extraction module to (i) determine one or more features of network traffic of the network, wherein each of the one or more features includes indexes associated with a link property that identifies network links between computer network nodes of the network, a protocol property that identifies protocol field values of a header of a corresponding network packet, and a time property that identifies intervals over which the network traffic is to be monitored and analyzed, and (ii) monitor the network traffic of the network based on the one or more features; an observation vector module to generate one or more observation vectors, wherein each of the one or more observation vectors includes a plurality of the one or more features based on the monitored network traffic; and a machine learning module to perform a statistical network analysis of the network traffic based on the generated one or more observation vectors to generate a probabilistic model of the network traffic.
地址 Tigard OR US