发明名称 DATA VISUALIZATION IN SELF LEARNING NETWORKS
摘要 In one embodiment, a first device in a network maintains raw traffic flow information for the network. The first device provides a compressed summary of the raw traffic flow information to a second device in the network. The second device is configured to transform the compressed summary for presentation to a user interface. The first device detects an anomalous traffic flow based on an analysis of the raw traffic flow information using a machine learning-based anomaly detector. The first device provides at least a portion of the raw traffic flow information related to the anomalous traffic flow to the second device for presentation to the user interface.
申请公布号 US2016219071(A1) 申请公布日期 2016.07.28
申请号 US201614990064 申请日期 2016.01.07
申请人 Cisco Technology, Inc. 发明人 Vasseur Jean-Philippe;Mermoud Grégory;Dasgupta Sukrit;Laumonier Xav
分类号 H04L29/06;G06N99/00 主分类号 H04L29/06
代理机构 代理人
主权项 1. A method, comprising: maintaining, by a first device in a network, raw traffic flow information for the network; providing, by the first device, a compressed summary of the raw traffic flow information to a second device in the network, wherein the second device is configured to transform the compressed summary for presentation to a user interface; detecting, by the first device, an anomalous traffic flow based on an analysis of the raw traffic flow information using a machine learning-based anomaly detector; and providing, by the first device, at least a portion of the raw traffic flow information related to the anomalous traffic flow to the second device for presentation to the user interface.
地址 San Jose CA US
您可能感兴趣的专利