CORRELATION OF MACHINE LEARNING MODEL GENERATED SECURITY POLICY TO INPUT FEATURES
案件概要
出願人
HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
発明者
Gopal Gupta; Satishwar Chandrashekar
IPC分類
CPC分類
In some examples, an authorization controller includes a machine learning model to manage access control to a network environment by a client device based on input features to the machine learning model, the input features including user information of a user of the client device, device information representing the client device, and network information representing a network used by the client device. The machine learning model when executed by the authorization controller generates a security policy used by the authorization controller in managing the access control. A system can correlate the security policy to model parameters set by the machine learning model in generating the security policy, and use the correlation to indicate which of the input features contributed to the security policy generated by the machine learning model.
原文(中国語)
In some examples, an authorization controller includes a machine learning model to manage access control to a network environment by a client device based on input features to the machine learning model, the input features including user information of a user of the client device, device information representing the client device, and network information representing a network used by the client device. The machine learning model when executed by the authorization controller generates a security policy used by the authorization controller in managing the access control. A system can correlate the security policy to model parameters set by the machine learning model in generating the security policy, and use the correlation to indicate which of the input features contributed to the security policy generated by the machine learning model.
外部リソース