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公开(公告)号：US12015629B2
公开(公告)日：2024-06-18
申请号：US17034241
申请日：2020-09-28
Applicant: Cisco Technology, Inc.
Inventor： Qihong Shao , David John Zacks , Yue Liu , Xinjun Zhang
IPC: H04L9/40 , G06F18/211 , G06F40/30 , G06N3/02 , H04L43/065
CPC classification number: H04L63/1433 , G06F18/211 , G06F40/30 , G06N3/02 , H04L43/065
Abstract: A method, computer system, and computer program product are provided for network risk analysis. A plurality of risk reports relating to a network device in a network are obtained, wherein each risk report is associated with a particular dimension of a plurality of dimensions of risk for the network device in the network. A count of the plurality of risk reports is determined for each dimension of the plurality of dimensions of risk. A regression model is applied to determine a risk value for the network device in the network based on the count of the plurality of risk reports for each dimension and based a role of the network device in the network.
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公开(公告)号：US12069082B2
公开(公告)日：2024-08-20
申请号：US17345640
申请日：2021-06-11
Applicant: Cisco Technology, Inc.
Inventor： Qihong Shao , Xinjun Zhang , Yue Liu , Kevin Broich , Kenneth Charles Croley , Gurvinder P. Singh
IPC: H04L9/40 , G06F21/57 , G06F40/295 , G06N3/045 , G06N3/08
CPC classification number: H04L63/1433 , G06F21/577 , G06F40/295 , G06N3/045 , G06N3/08
Abstract: A method, computer system, and computer program product are provided for mitigating network risk. A plurality of risk reports corresponding to a plurality of network devices in a network are processed to determine a multidimensional risk score for the network. The plurality of risk reports are analyzed using a semantic analysis model to identify one or more factors that contribute to the multidimensional risk score. One or more actions are determined using a trained learning model to mitigate one or more dimensions of the multidimensional risk score. The outcomes of applying the one or more actions are presented to a user to indicate an effect of each of the one or more actions on the multidimensional risk score for the network.
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公开(公告)号：US20220400131A1
公开(公告)日：2022-12-15
申请号：US17345640
申请日：2021-06-11
Applicant: Cisco Technology, Inc.
Inventor： Qihong Shao , Xinjun Zhang , Yue Liu , Kevin Broich , Kenneth Charles Croley , Gurvinder P. Singh
IPC: H04L29/06 , G06F40/56 , G06F40/295 , G06N3/04 , G06N3/08
Abstract: A method, computer system, and computer program product are provided for mitigating network risk. A plurality of risk reports corresponding to a plurality of network devices in a network are processed to determine a multidimensional risk score for the network. The plurality of risk reports are analyzed using a semantic analysis model to identify one or more factors that contribute to the multidimensional risk score. One or more actions are determined using a trained learning model to mitigate one or more dimensions of the multidimensional risk score. The outcomes of applying the one or more actions are presented to a user to indicate an effect of each of the one or more actions on the multidimensional risk score for the network.
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公开(公告)号：US20220103586A1
公开(公告)日：2022-03-31
申请号：US17034241
申请日：2020-09-28
Applicant: Cisco Technology, Inc.
Inventor： Qihong Shao , David John Zacks , Yue Liu , Xinjun Zhang
Abstract: A method, computer system, and computer program product are provided for network risk analysis. A plurality of risk reports relating to a network device in a network are obtained, wherein each risk report is associated with a particular dimension of a plurality of dimensions of risk for the network device in the network. A count of the plurality of risk reports is determined for each dimension of the plurality of dimensions of risk. A regression model is applied to determine a risk value for the network device in the network based on the count of the plurality of risk reports for each dimension and based a role of the network device in the network.
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