System and method for self-clustering edge computing protection

US12095823B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12095823-B2
Application numberUS-202117547566-A
CountryUS
Kind codeB2
Filing dateDec 10, 2021
Priority dateDec 10, 2021
Publication dateSep 17, 2024
Grant dateSep 17, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Systems, computer program products, and methods are described herein for self-clustering computing protocols. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a distributed network, and transmit instructions for the first node or device to broadcast the change to nearby nodes or devices such that they can act in concert to protect against identifies security issues.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for self-clustering edge computing, the system comprising: at least one non-transitory storage device; and at least one processing device coupled to the at least one non-transitory storage device, wherein the at least one processing device is configured to: detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a network environment; extract information associated with the change in the network security protocol associated with the first node or device; transmit instructions to the first node or device to broadcast the change and underlying security issue to one or more adjacent nodes or devices; determine a first set of changes to the network security protocols for the one or more adjacent nodes or devices based on device similarity and network topology distance between the first node or device and the one or more adjacent nodes or devices; automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes or devices; initiate a machine learning model on the information associated with the change in the network security protocol associated with the first node or device; classify, using the machine learning model, the change in the network security protocol associated with the first node into one or more classes; retrieve one or more preset changes to the network security protocols associated with the one or more classes; and determine the first set of changes to the network security protocols for the one or more adjacent nodes or devices from the one or more preset changes. 2. The system of claim 1 , wherein adjacent nodes or devices further comprise nodes or devices which are one degree of separation from the first node or device. 3. The system of claim 1 , wherein adjacent nodes or devices further comprise nodes or devices which are a same degree of separation from public devices as the first node or device. 4. The system of claim 1 , the first set of changes to the network security protocols of the one or more adjacent nodes or devices causes the one or more adjacent nodes or devices to begin sharing real-time data analytics information with the first node or device. 5. The system of claim 4 , further configured to implement a second set of changes on the first node or device and the adjacent nodes or devices contemporaneously based on changes in the real-time data analytics information. 6. The system of claim 1 , wherein the at least one processing device is further configured to: identify one or more adjacent nodes or devices with a second degree of separation from the first node or device in response to detecting the change; determine a second set of changes to the network security protocols for the one or more adjacent nodes or devices with the second degree of separation from the first node or device based on at least the information associated with the change in the network security protocol of the first node or device and the first set of changes implemented to the network security protocols of the one or more adjacent nodes or devices with the first degree of separation from the first node or device; and automatically implement the second set of changes to the network security protocols of the one or more adjacent nodes or devices with the second degree of separation from the first node. 7. A computer program product for self-clustering edge computing, the computer program product comprising a non-transitory computer-readable medium comprising code causing a first apparatus to: detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a network environment; extract information associated with the change in the network security protocol associated with the first node or device; transmit instructions to the first node or device to broadcast the change and underlying security issue to one or more adjacent nodes or devices; determine a first set of changes to the network security protocols for the one or more adjacent nodes or devices based on device similarity and network topology distance between the first node or device and the one or more adjacent nodes or devices; automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes or devices; initiate a machine learning model on the information associated with the change in the network security protocol associated with the first node or device; classify, using the machine learning model, the change in the network security protocol associated with the first node into one or more classes; retrieve one or more preset changes to the network security protocols associated with the one or more classes; and determine the first set of changes to the network security protocols for the one or more adjacent nodes or devices from the one or more preset changes. 8. The computer program product of claim 7 , wherein adjacent nodes or devices further comprise nodes or devices which are one degree of separation from the first node or device. 9. The computer program product of claim 7 , wherein adjacent nodes or devices further comprise nodes or devices which are a same degree of separation from public devices as the first node or device. 10. The computer program product of claim 7 , wherein the first set of changes to the network security protocols of the one or more adjacent nodes or devices causes the one or more adjacent nodes or devices to begin sharing real-time data analytics information with the first node or device. 11. The computer program product of claim 10 , further configured to implement a second set of changes on the first node or device and the adjacent nodes or devices contemporaneously based on changes in the real-time data analytics information. 12. The computer program product of claim 7 , wherein the at least one processing device is further configured to: identify one or more adjacent nodes or devices with a second degree of separation from the first node or device in response to detecting the change; determine a second set of changes to the network security protocols for the one or more adjacent nodes or devices with the second degree of separation from the first node or device based on at least the information associated with the change in the network security protocol of the first node or device and the first set of changes implemented to the network security protocols of the one or more adjacent nodes or devices with the first degree of separation from the first node or device; and automatically implement the second set of changes to the network security protocols of the one or more adjacent nodes or devices with the second degree of separation from the first node. 13. A method for self-clustering edge computing, the method comprising: detect, using a node analysis engine, a change in a network security protocol associated with a first node within a distributed network; detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a network environment; extract information associated with the change in the network security protocol associated with the first node or device; transmit instructions to the first node or device to broadcast the change and underlying security issue to one or more adjacent nodes or devices; determine a first set of changes to the network security protocols for the one or more adjacent nodes or devices based on device similarity and network topology distance between the first node or device and the one

Assignees

Inventors

Classifications

  • Traffic logging, e.g. anomaly detection · CPC title

  • Event detection, e.g. attack signature detection · CPC title

  • for managing network security; network security policies in general (filtering policies H04L63/0227) · CPC title

  • H04L63/205Primary

    involving negotiation or determination of the one or more network security mechanisms to be used, e.g. by negotiation between the client and the server or between peers or by selection according to the capabilities of the entities involved (negotiation of communication capabilities H04L69/24) · CPC title

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What does patent US12095823B2 cover?
Systems, computer program products, and methods are described herein for self-clustering computing protocols. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a distributed network, and transmit instructions for the first node or device to broadcast the change to nearby nodes or dev…
Who is the assignee on this patent?
Bank Of America
What technology area does this patent fall under?
Primary CPC classification H04L63/1425. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Sep 17 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).