- 专利标题: Peer risk benchmarking using generative adversarial networks
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申请号: US17704449申请日: 2022-03-25
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公开(公告)号: US11533241B2公开(公告)日: 2022-12-20
- 发明人: Qihong Shao , David John Zacks , Xinjun Zhang
- 申请人: Cisco Technology, Inc.
- 申请人地址: US CA San Jose
- 专利权人: Cisco Technology, Inc.
- 当前专利权人: Cisco Technology, Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Edell, Shapiro & Finnan, LLC
- 主分类号: G06F15/173
- IPC分类号: G06F15/173 ; H04L41/14 ; H04L41/12 ; H04L41/147 ; H04L41/5067 ; H04L43/045 ; H04L43/06 ; H04L43/0817 ; H04L43/55
摘要:
A method, computer system, and computer program product are provided for peer risk benchmarking. Customer data for a first network is obtained, wherein the customer data comprises a role of one or more network devices in the first network and a plurality of risk reports corresponding to the one or more network devices, and wherein each risk report is associated with a particular dimension of a plurality of dimensions of risk for the one or more network devices. A network profile image is generated by processing the plurality of risk reports. A generative adversarial network generates a synthetic network profile image from the network profile image, wherein the synthetic network profile image does not include the customer data. A second network is evaluated using the synthetic network profile image to identify differences between the first network and the second network.
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