PROVIDING DYNAMIC NETWORK SECURITY BASED ON IMPORTANCE OF PROPRIETARY CONTENT

    公开(公告)号:US20240259351A1

    公开(公告)日:2024-08-01

    申请号:US18160683

    申请日:2023-01-27

    CPC classification number: H04L63/0414 H04L63/102 H04L63/105

    Abstract: A method, computer system, and a computer program product are provided for establishing security measures for a content. In one embodiment, the method comprises identifying at least a microservice chain in a network computer. Each microservice chain has more than one microservice linked to one another and each microservice includes a plurality of applications bundled together. Any use profiles associated with the microservice chain are identified and all data entry points into each microservice are determined. Each microservice is analyzed to predict when each microservice in the chain will provide a confidential output. Once any microservice chain is deemed to be providing a confidential output, any predicted exits in the microservice deemed to be generating an output content are upgraded so that all predicted exists provide a confidential output.

    FAST FORWARDED SECURITY ISSUE IDENTIFICATION USING DIGITAL TWINS

    公开(公告)号:US20240114050A1

    公开(公告)日:2024-04-04

    申请号:US17956776

    申请日:2022-09-29

    CPC classification number: H04L63/1441 H04L63/1416 H04L63/1425 H04L63/1433

    Abstract: A method and system provide computer system security for a focus computer system (FCS). The method comprises creating a security digital twin (SDT) for the FCS with an associated security ontology for the FCS. A potential threat analyzer receives a potential threat object (PTO), and maps it to an enterprise attack vector pattern. The method further comprises searching, on another computer system (OCS) for a predicted attack pattern having a similar pattern to the enterprise attack vector pattern. Conditioned upon finding the predicted attack pattern, and using a potential threat handler locating an action mitigation plan (AMP) related to the predicted attack pattern in the data fabric associated with the OCS, the method further comprises copying the OCS predicted attack pattern to an FCS predicted attack pattern store, copying the OCS AMP to an FCS AMP store, and defending the FCS from the PTO using the AMP.

    Managing delivery by utilizing multiple vehicles

    公开(公告)号:US11922360B2

    公开(公告)日:2024-03-05

    申请号:US17592892

    申请日:2022-02-04

    CPC classification number: G06Q10/083

    Abstract: An approach for managing delivery of packages utilizing one or more vehicles is disclosed. The approach includes loading delivery vehicles in a such a way that, based on contextual need of offloading of the packages from the delivery vehicles, the approach will selectively offload the packages from the delivery vehicle to on-demand warehouse as service location along the route of the delivery vehicle. The delivery vehicles can proactively analyze various contextual situation, and can identify which and how much products are to be off-loaded from the delivery vehicles, and can proactively book warehouse as a service location along with the route of the delivery vehicle so that the products can be transferred from a transportation vehicle to on-demand warehouse as a service location effectively and efficiently.

    Determining domain name system forwarding rules in a multi-cloud environment

    公开(公告)号:US11811730B1

    公开(公告)日:2023-11-07

    申请号:US18045606

    申请日:2022-10-11

    CPC classification number: H04L61/5046 H04L61/4511

    Abstract: An example method for determining domain name system (DNS) forwarding rules is provided. The method includes training a machine learning model to generate recommended DNS forwarding rules and determine whether a DNS resolver is experiencing an DNS resolver issue. The method further includes receiving a DNS query at the DNS resolver which is one of a plurality of DNS resolvers forming a network of DNS resolvers. The method further includes identifying a chain of DNS resolvers of the network of DNS resolvers based at least in part on the DNS query and a DNS response to the DNS query. The method further includes analyzing the DNS query and the DNS response using the machine learning model to generate a DNS forwarding rule and to identify whether any of the DNS resolvers of the network of DNS resolvers is experiencing the DNS resolver issue.

    Ad-hoc network optimization by parking allocation

    公开(公告)号:US11776404B2

    公开(公告)日:2023-10-03

    申请号:US17650088

    申请日:2022-02-07

    CPC classification number: G08G1/148 G08G1/142 G08G1/146

    Abstract: According to one embodiment, a method, computer system, and computer program product for parking allocation is provided. The embodiment may include measuring a plurality of network optimization factors corresponding to a given area. The embodiment may also include mapping a plurality of priority factors for network optimization across the given area. The embodiment may further include identifying one or more mobile nodes within the given area. The embodiment may also include selecting a location for each mobile node based on one or more priority factors. The embodiment may further include transmitting an instruction directing the mobile node to the location.

    AD-HOC NETWORK OPTIMIZATION BY PARKING ALLOCATION

    公开(公告)号:US20230252898A1

    公开(公告)日:2023-08-10

    申请号:US17650088

    申请日:2022-02-07

    CPC classification number: G08G1/148 G08G1/146 G08G1/142

    Abstract: According to one embodiment, a method, computer system, and computer program product for parking allocation is provided. The embodiment may include measuring a plurality of network optimization factors corresponding to a given area. The embodiment may also include mapping a plurality of priority factors for network optimization across the given area. The embodiment may further include identifying one or more mobile nodes within the given area. The embodiment may also include selecting a location for each mobile node based on one or more priority factors. The embodiment may further include transmitting an instruction directing the mobile node to the location.

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