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公开(公告)号：US20240113869A1
公开(公告)日：2024-04-04
申请号：US17959016
申请日：2022-10-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Daniel Solero , Michelle Barry , Brian Miles
CPC classification number: H04L9/0852 , H04L9/321
Abstract: Aspects of the subject disclosure may include, for example, receiving a first request from a first communication orchestrator of a first protected environment to provide a secure and authenticated connection between a first resource of the first protected environment and a second resource of a second protected environment, accessing first encryption information from the first communication orchestrator and second encryption information from a second communication orchestrator of the second protected environment, verifying a capability for secure quantum communications of an encryption technique of the first communication orchestrator and the second communication orchestrator according to the first encryption information and the second encryption information, and enabling the first communication orchestrator and the second communication orchestrator to initiate a secure and authenticated communication channel via quantum communications. Other embodiments are disclosed.
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公开(公告)号：US12170725B2
公开(公告)日：2024-12-17
申请号：US17959016
申请日：2022-10-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Daniel Solero , Michelle Barry , Brian Miles
Abstract: Aspects of the subject disclosure may include, for example, receiving a first request from a first communication orchestrator of a first protected environment to provide a secure and authenticated connection between a first resource of the first protected environment and a second resource of a second protected environment, accessing first encryption information from the first communication orchestrator and second encryption information from a second communication orchestrator of the second protected environment, verifying a capability for secure quantum communications of an encryption technique of the first communication orchestrator and the second communication orchestrator according to the first encryption information and the second encryption information, and enabling the first communication orchestrator and the second communication orchestrator to initiate a secure and authenticated communication channel via quantum communications. Other embodiments are disclosed.
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公开(公告)号：US12088631B2
公开(公告)日：2024-09-10
申请号：US17931521
申请日：2022-09-12
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Moshiur Rahman , William R. Trost
CPC classification number: H04L63/20 , G06N10/00 , H04L9/0852 , H04L63/1416
Abstract: The present disclosure describes event detection and management for quantum communications in a communication network. The event detection and management for quantum communications in a communication network may be provided based on event-based interaction between quantum nodes of the communication network and a network controller of the communication network, such as where the quantum nodes detect events associated with quantum communications and report the events associated with quantum communications to the network controller and where the network controller receives the events associated with quantum communications from the quantum nodes and initiates event management operations based on the events associated with quantum communications. The event detection and management for quantum communications in a communication network may be provided for various aspects of quantum communications, such as for quantum channels configured to support quantum information transfers, quantum information transfers via quantum channels, quantum applications, and so forth.
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公开(公告)号：US20230177315A1
公开(公告)日：2023-06-08
申请号：US18101818
申请日：2023-01-26
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Daniel Solero , Brian Miles
Abstract: Concepts and technologies are disclosed herein for using deep learning models to obfuscate and optimize communications. A request can be received in a first language, from a user device, and at a first computing device storing a first neural network. The request can be translated using the first neural network into a modified request in a custom language. The modified request can be sent to a second computing device hosting an application. The first computing device can receive a modified response that is in the custom language, where the modified response can be created at the second computing device using the second neural network and based on a response from the application. The modified response can be translated into a response in the first language and sent to the user device.
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Patent Agency Ranking
公开(公告)号：US20230007049A1
公开(公告)日：2023-01-05
申请号：US17931521
申请日：2022-09-12
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Moshiur Rahman , William R. Trost
Abstract: The present disclosure describes event detection and management for quantum communications in a communication network. The event detection and management for quantum communications in a communication network may be provided based on event-based interaction between quantum nodes of the communication network and a network controller of the communication network, such as where the quantum nodes detect events associated with quantum communications and report the events associated with quantum communications to the network controller and where the network controller receives the events associated with quantum communications from the quantum nodes and initiates event management operations based on the events associated with quantum communications. The event detection and management for quantum communications in a communication network may be provided for various aspects of quantum communications, such as for quantum channels configured to support quantum information transfers, quantum information transfers via quantum channels, quantum applications, and so forth.
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公开(公告)号：US20210256352A1
公开(公告)日：2021-08-19
申请号：US16792998
申请日：2020-02-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Daniel Solero , Brian Miles
Abstract: Concepts and technologies are disclosed herein for using deep learning models to obfuscate and optimize communications. A request can be received in a first language, from a user device, and at a first computing device storing a first neural network. The request can be translated using the first neural network into a modified request in a custom language. The modified request can be sent to a second computing device hosting an application. The first computing device can receive a modified response that is in the custom language, where the modified response can be created at the second computing device using the second neural network and based on a response from the application. The modified response can be translated into a response in the first language and sent to the user device.
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公开(公告)号：US11568209B2
公开(公告)日：2023-01-31
申请号：US16792998
申请日：2020-02-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Daniel Solero , Brian Miles
Abstract: Concepts and technologies are disclosed herein for using deep learning models to obfuscate and optimize communications. A request can be received in a first language, from a user device, and at a first computing device storing a first neural network. The request can be translated using the first neural network into a modified request in a custom language. The modified request can be sent to a second computing device hosting an application. The first computing device can receive a modified response that is in the custom language, where the modified response can be created at the second computing device using the second neural network and based on a response from the application. The modified response can be translated into a response in the first language and sent to the user device.
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公开(公告)号：US20210271591A1
公开(公告)日：2021-09-02
申请号：US16803609
申请日：2020-02-27
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Daniel Solero , Darrell Widhalm
Abstract: Mock test data is generated by providing a random input to a generator model. The random input is transformed into generated data that is then provided to a discriminator model along with production data. The discriminator model classifies the generated data and the production data as either fake or real. The discriminator model is trained by updating weights through backpropagation. Similarly, the generator model is trained to provide adjusted generated data. When the discriminator model is unable to distinguish between the classified real data and the adjusted generated data, the generator model is used to generate mock data for an application being tested.
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公开(公告)号：US20210037061A1
公开(公告)日：2021-02-04
申请号：US16527409
申请日：2019-07-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： William R. Trost , Chad Hiestand , David FengLin Chen , Anthony Librera , Brian Miles
Abstract: Methods, systems, and apparatuses, may manage machine learned security for computer program products, which may create dynamic micro-perimeters.
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