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公开(公告)号：US11245758B2
公开(公告)日：2022-02-08
申请号：US16659530
申请日：2019-10-21
Applicant: Google LLC
Inventor： Michael Jeffrey Procopio , Christiaan Prins , Ramesh Nagarajan , Ushasree Kode , Christopher Tate , Di Wu , Reuben Kan , John Herndon
Abstract: A method for providing restoration of third-party application data to a client device is described herein. The method includes determining whether to provide, to the client device, data associated with a third-party application to be restored at the client device. The data associated with the third-party application includes binary data stored in a first cloud storage location having a storage address, and metadata stored in a second cloud storage location. The method also includes using the metadata to determine the storage address of the first cloud storage location. The method further includes providing the binary data from the first cloud storage location to the client device for restoring the third-party application data.
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公开(公告)号：US11178224B2
公开(公告)日：2021-11-16
申请号：US16659523
申请日：2019-10-21
Applicant: Google LLC
Inventor： Michael Jeffrey Procopio , Christiaan Prins , Ramesh Nagarajan , Ushasree Kode , Christopher Tate , Di Wu , Reuben Kan , John Herndon
Abstract: A method for storing mobile device data to cloud storage includes detecting a predetermined condition to backup data associated with a first mobile device to the cloud storage. Uploading, to a cloud storage server, data associated with the first mobile device including data associated with a plurality of third-party applications stored on the first mobile device and one or more of contacts information stored on the first mobile device, text messages stored on the first mobile device, or contents of a memory card associated with the first mobile device. The data associated with the plurality of third-party applications include binary data and metadata. The method further includes storing the binary data of the plurality of third-party applications at a first cloud storage location and storing the metadata of the plurality of third-party applications to a second cloud storage location that is different from the first cloud storage location.
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Patent Agency Ranking
3.发明申请公开(公告)号：US20200053152A1
公开(公告)日：2020-02-13
申请号：US16659530
申请日：2019-10-21
Applicant: Google LLC
Inventor： Michael Jeffrey Procopio , Christiaan Prins , Ramesh Nagarajan , Ushasree Kode , Christopher Tate , Di Wu , Reuben Kan , John Herndon
Abstract: A method for providing restoration of third-party application data to a client device is described herein. The method includes determining whether to provide, to the client device, data associated with a third-party application to be restored at the client device. The data associated with the third-party application includes binary data stored in a first cloud storage location having a storage address, and metadata stored in a second cloud storage location. The method also includes using the metadata to determine the storage address of the first cloud storage location. The method further includes providing the binary data from the first cloud storage location to the client device for restoring the third-party application data.
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公开(公告)号：US10341390B2
公开(公告)日：2019-07-02
申请号：US16170026
申请日：2018-10-24
Applicant: Google LLC
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 Seth , Rongjing Xiang , Hugh Brendan McMahan
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.
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5.发明申请公开(公告)号：US20200053151A1
公开(公告)日：2020-02-13
申请号：US16659523
申请日：2019-10-21
Applicant: Google LLC
Inventor： Michael Jeffrey Procopio , Christiaan Prins , Ramesh Nagarajan , Ushasree Kode , Christopher Tate , Di Wu , Reuben Kan , John Herndon
Abstract: A method for storing mobile device data to cloud storage includes detecting a predetermined condition to backup data associated with a first mobile device to the cloud storage. Uploading, to a cloud storage server, data associated with the first mobile device including data associated with a plurality of third-party applications stored on the first mobile device and one or more of contacts information stored on the first mobile device, text messages stored on the first mobile device, or contents of a memory card associated with the first mobile device. The data associated with the plurality of third-party applications include binary data and metadata. The method further includes storing the binary data of the plurality of third-party applications at a first cloud storage location and storing the metadata of the plurality of third-party applications to a second cloud storage location that is different from the first cloud storage location.
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公开(公告)号：US20190068647A1
公开(公告)日：2019-02-28
申请号：US16170026
申请日：2018-10-24
Applicant: Google LLC
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 Seth , Rongjing Xiang , Hugh Brendan McMahan
CPC classification number: H04L63/20 , H04W12/00503 , H04W12/00504 , 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.
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公开(公告)号：US10148692B2
公开(公告)日：2018-12-04
申请号：US14311376
申请日：2014-06-23
Applicant: Google LLC
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
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.
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