公开(公告)号：US10455015B2

公开(公告)日：2019-10-22

申请号：US15156539

申请日：2016-05-17

Applicant: Google Inc.

Inventor： Michael Jeffrey Procopio ,  Christiaan Prins ,  Ramesh Nagarajan ,  Ushasree Kode ,  Christopher Tate ,  Di Wu ,  Reuben Kan ,  John Herndon

IPC: G06F13/00 ,  H04L29/08 ,  H04L29/06 ,  G06F11/14

Abstract: A method for storing third-party application data to cloud storage is described herein. The method includes determining to upload data associated with a third-party application stored on a client device to a cloud storage server. The data associated with the third-party application includes both binary data and metadata. The method further includes storing the binary data of the third-party application at a first cloud storage location. The first cloud storage location has a storage address and the metadata is updated to include the storage address. The method includes storing the updated metadata to a second cloud storage location different from the first cloud storage location.

公开(公告)号：US20150373050A1

公开(公告)日：2015-12-24

申请号：US14311376

申请日：2014-06-23

Applicant: Google Inc.

Inventor： Tal Dayan ,  Maya Ben Ari ,  Tanton Holt Gibbs ,  Ido Ofir ,  Jay Pierre Civelli ,  Brandon Keely ,  Christiaan Prins ,  Zheng Sun ,  Ning Zheng ,  James Brooks Miller ,  Jennifer Fernquist ,  Rongjing Xiang ,  Hugh Brendan McMahan

IPC: H04L29/06

CPC classification number: H04L63/20 ,  H04W12/06 ,  H04W88/02

Abstract: Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

Abstract translation: 提供了系统和技术，用于在移动设备中聚合异步信任结果。 可以从信号确定信任级别。 可以独立于任何其他信任级别来确定每个信任级别。 可以基于应用于信号启发式，数学优化，决策树，机器学习系统或人工智能系统来确定每个信任级别。 可以通过聚合信任级别来确定聚合的信任结果。 聚合信任级别可以包括将启发式，数学优化，决策树，机器学习系统或人造智能系统应用于信任级别，并且其中聚合的信任结果; 以及基于所述聚合的信任结果，发送由所述至少一个安全措施的启用，禁用或放宽来实现的所述聚合的信任结果。

公开(公告)号：US20160352827A1

公开(公告)日：2016-12-01

申请号：US15156539

申请日：2016-05-17

Applicant: Google Inc.

Inventor： Michael Jeffrey Procopio ,  Christiaan Prins ,  Ramesh Nagarajan ,  Ushasree Kode ,  Christopher Tate ,  Di Wu ,  Reuben Kan ,  John Herndon

IPC: H04L29/08 ,  H04L29/06

Abstract: A method for storing third-party application data to cloud storage is described herein. The method includes determining to upload data associated with a third-party application stored on a client device to a cloud storage server. The data associated with the third-party application includes both binary data and metadata. The method further includes storing the binary data of the third-party application at a first cloud storage location. The first cloud storage location has a storage address and the metadata is updated to include the storage address. The method includes storing the updated metadata to a second cloud storage location different from the first cloud storage location.

Abstract translation: 这里描述了将第三方应用数据存储到云存储的方法。 该方法包括确定将存储在客户端设备上的与第三方应用相关联的数据上传到云存储服务器。 与第三方应用程序相关联的数据包括二进制数据和元数据。 该方法还包括将第三方应用的二进制数据存储在第一云存储位置。 第一个云存储位置具有存储地址，并且更新元数据以包括存储地址。 该方法包括将更新的元数据存储到与第一云存储位置不同的第二云存储位置。