Invention Application
- Patent Title: PEER RISK BENCHMARKING USING GENERATIVE ADVERSARIAL NETWORKS
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Application No.: US17077073Application Date: 2020-10-22
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Publication No.: US20220131761A1Publication Date: 2022-04-28
- Inventor: Qihong Shao , David John Zacks , Xinjun Zhang
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04L12/26

Abstract:
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.
Public/Granted literature
- US11316750B1 Peer risk benchmarking using generative adversarial networks Public/Granted day:2022-04-26
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