System and method for generating and monitoring dynamic identifiers for data processing security

    公开(公告)号:US12013927B2

    公开(公告)日:2024-06-18

    申请号:US17701793

    申请日:2022-03-23

    CPC classification number: G06F21/45 H04L63/123

    Abstract: Various systems, methods, and computer program products are provided for generating and monitoring dynamic identifiers for data processing security. The method includes generating a dynamic identifier for a user request. The dynamic identifier changes based on a receiving node of the dynamic identifier. The method also includes updating the dynamic identifier in an instance in which the user request is transmitted from a first node to a second node. The method further includes generating a dynamic identifier change log. The dynamic identifier change log includes at least one historical dynamic identifier from a previous receiving node. The method still further includes determining whether the dynamic identifier change log matches an expected dynamic identifier change log. The method also includes causing a transmission of a dynamic identifier verification upon determining that the dynamic identifier change log matches the expected dynamic identifier change log.

    Quantum dot energized heterogeneous multi-sensor with edge fulgurated decision accomplisher

    公开(公告)号:US11924074B2

    公开(公告)日:2024-03-05

    申请号:US17575860

    申请日:2022-01-14

    CPC classification number: H04L43/06 H04L43/04 H04L67/10

    Abstract: Aspects described herein relate to a centralized computing system that interacts with a plurality of data centers, each having an edge server. Each edge server obtains sensor information from a plurality of sensors and processes the sensor information to detect an imminent shutdown and sends emergency data to a centralized processing entity when detected. In order to make a decision, the edge server processes the sensor data based on dynamic sensor thresholds and dynamic prioritizer data by syncing with the centralized computing system. Because of the short time duration to report emergency data before an imminent complete shutdown, an edge server may utilize a quantum data pipeline and quantum data storage as a key medium for all data transfer in a normal condition and at the time of emergency for internally transporting processed sensor data and providing the emergency data to the centralized processing entity.

    Stand-alone IOT device for repairing failures on a computing device

    公开(公告)号:US12117896B2

    公开(公告)日:2024-10-15

    申请号:US18122204

    申请日:2023-03-16

    CPC classification number: G06F11/0793 G06F11/0751 G06F11/079

    Abstract: A stand-alone embedded internet of things edge artificial intelligence device (“EIEAC”) may be provided. The EIEAC may be configured to operate independent of the computing device and may be configured to monitor and repair failures occurring at the computing device. The EIEAC may receive computer health data from a client agent application running on the computing device. The EIEAC may include a memory configured to store the computer health data and a battery configured to charge the EIEAC. The EIEAC may include a processor configured to process the computer health data to identify one or more failures using tiny machine learning (“tinyML”). When one or more failures are identified by the processor, the tinyML may be configured to execute instructions on the computer health data for repairing the one or more failures. When unsuccessful, the EIEAC may establish an electronic connection with a remote cloud lookup tower for repairing.

    Compliance fabric for enterprise UI/UX standards

    公开(公告)号:US12093637B2

    公开(公告)日:2024-09-17

    申请号:US18103642

    申请日:2023-01-31

    CPC classification number: G06F40/14 G06F40/154 G06V10/82 G06V30/42 G06F9/451

    Abstract: Deep learning in the form of a deepfakes fabricator can be utilized to analyzed proposed documents, images, webpages etc. in order to ensure compliance with UI/UX standards. A rover component can scan and compartmentalize detected objects. A deepfakes fabricator can identify source datasets corresponding to detected objects and transform the objects so that they comply with standards stored in a web integrant. Resulting objects may be combined into an integrated image and an operational synthetic webpage may be created. Similarly, the disclosed deep-learning and other processes may operate in reverse and utilize an approved document, image, website, etc. in order automatically create (in whole or in part) a set of UI/UX standards.

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