公开(公告)号：US20160366126A1

公开(公告)日：2016-12-15

申请号：US14739107

申请日：2015-06-15

Applicant: GOOGLE INC.

Inventor： Matthew SHARIFI ,  Kai WANG ,  David PETROU

IPC: H04L29/06 ,  G06N99/00 ,  H04W12/06

CPC classification number: G06N99/005 ,  G06F21/316 ,  G06F21/36 ,  H04L63/083 ,  H04L63/102 ,  H04W4/02 ,  H04W4/80 ,  H04W12/06 ,  H04W12/10 ,  H04W12/12

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.

Abstract translation: 为计算设备的基于内容的安全提供了系统和方法。 示例性方法包括识别由移动应用呈现的内容，在会话期间呈现的内容，从内容生成特征向量并且确定特征向量与分类模型不匹配。 所述方法还包括响应于所述特征向量与所述分类模型不匹配的确定而提供配置用于认证所述移动设备的用户的挑战。 另一示例性方法包括确定计算设备位于可信位置，从会话中捕获信息，来自在会话期间由移动应用呈现的内容的信息，生成会话的特征向量，并重复此操作，直到训练标准为 见面 该方法还包括使用特征向量来训练分类模型，并使用经过训练的分类模型来验证该设备的用户。