Invention Application
- Patent Title: PEER RISK BENCHMARKING USING GENERATIVE ADVERSARIAL NETWORKS
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Application No.: US18067068Application Date: 2022-12-16
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Publication No.: US20230118857A1Publication Date: 2023-04-20
- 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: H04L41/14
- IPC: H04L41/14 ; H04L41/12 ; H04L41/147 ; H04L41/5067 ; H04L43/045 ; H04L43/06 ; H04L43/0817 ; H04L43/55

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
- US11843515B2 Peer risk benchmarking using generative adversarial networks Public/Granted day:2023-12-12
Information query