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案件記録

CORRELATION OF MACHINE LEARNING MODEL GENERATED SECURITY POLICY TO INPUT FEATURES

発明審査中
28閲覧数
20請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Gopal Gupta; Satishwar Chandrashekar

IPC分類

H4L 9/40

CPC分類

H4L63/20H4L63/1425

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