公开(公告)号：US20190019110A1

公开(公告)日：2019-01-17

申请号：US16133395

申请日：2018-09-17

Applicant: Google LLC

Inventor： Matthew SHARIFI ,  Kai WANG ,  David PETROU

IPC: G06N99/00 ,  G06F21/31 ,  G06F21/36 ,  H04L29/06 ,  H04W4/02 ,  H04W12/06 ,  H04W4/80 ,  H04W12/10 ,  H04W12/12

CPC classification number: G06N20/00 ,  G06F21/316 ,  G06F21/36 ,  H04L63/083 ,  H04L63/102 ,  H04W4/029 ,  H04W4/80 ,  H04W12/00508 ,  H04W12/06 ,  H04W12/10 ,  H04W12/1206

Abstract: Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.

公开(公告)号：US20230156000A1

公开(公告)日：2023-05-18

申请号：US18097738

申请日：2023-01-17

Applicant: GOOGLE LLC

Inventor： Matthew Sharifi ,  Kai WANG ,  David Petrou

IPC: H04L9/40 ,  H04W12/06 ,  G06N20/00 ,  H04W4/029 ,  G06F21/31 ,  G06F21/36 ,  H04W12/30 ,  H04W12/126

CPC classification number: H04L63/083 ,  H04W12/06 ,  G06N20/00 ,  H04W4/029 ,  G06F21/316 ,  G06F21/36 ,  H04W12/30 ,  H04W12/126 ,  H04L63/102 ,  H04W12/10

Abstract: Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.