Patents by Inventor Dustin Stocks

Dustin Stocks has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250013749
    Abstract: Aspects of the disclosure relate to mitigation and detection of steganographic modifications embedded in images. A computing platform may receive an image embedded with steganographic modifications. The computing platform may change or modify any number of bits of one or more color components of one or more pixels of an image, rendering the steganographic modifications ineffective. The computing platform may cause at an isolation zone system, execution of an image, including steganographic modifications, to identify images embedded with steganographic modifications. The computing platform may also compare an image with image stored in an image storage module. The computing platform may store an image from the image storage module with a highest visual comparison score rather than the image.
    Type: Application
    Filed: September 25, 2024
    Publication date: January 9, 2025
    Inventors: Matthew Murray, Garrett Botkin, Dustin Stocks
  • Patent number: 12147538
    Abstract: Aspects of the disclosure relate to mitigation and detection of steganographic modifications embedded in images. A computing platform may receive an image embedded with steganographic modifications. The computing platform may change or modify any number of bits of one or more color components of one or more pixels of an image, rendering the steganographic modifications ineffective. The computing platform may cause at an isolation zone system, execution of an image, including steganographic modifications, to identify images embedded with steganographic modifications. The computing platform may also compare an image with image stored in an image storage module. The computing platform may store an image from the image storage module with a highest visual comparison score rather than the image.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: November 19, 2024
    Inventors: Matthew Murray, Garrett Botkin, Dustin Stocks
  • Patent number: 12056112
    Abstract: Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, partially transferred data associated with an ongoing data transfer from the source to the target system and identify a second set of patterns associated with the partially transferred data. The computing platform may evaluate integrity of the partially transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison and halt the ongoing data transfer based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: August 6, 2024
    Assignee: Bank of America Corporation
    Inventors: Matthew Kristofer Bryant, Colin Murphy, Dustin Stocks
  • Patent number: 12050587
    Abstract: Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, transferred data associated with a data transfer from the source system to the target system and identify a second set of patterns associated with transferred data. The computing platform may evaluate integrity of the transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison. The computing platform may send one or more notifications based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: July 30, 2024
    Assignee: Bank of America Corporation
    Inventors: Matthew Kristofer Bryant, Colin Murphy, Dustin Stocks
  • Publication number: 20240028727
    Abstract: Aspects of the disclosure relate to mitigation and detection of steganographic modifications embedded in images. A computing platform may receive an image embedded with steganographic modifications. The computing platform may change or modify any number of bits of one or more color components of one or more pixels of an image, rendering the steganographic modifications ineffective. The computing platform may cause at an isolation zone system, execution of an image, including steganographic modifications, to identify images embedded with steganographic modifications. The computing platform may also compare an image with image stored in an image storage module. The computing platform may store an image from the image storage module with a highest visual comparison score rather than the image.
    Type: Application
    Filed: July 25, 2022
    Publication date: January 25, 2024
    Inventors: Matthew Murray, Garrett Botkin, Dustin Stocks
  • Publication number: 20220382618
    Abstract: Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, transferred data associated with a data transfer from the source system to the target system and identify a second set of patterns associated with transferred data. The computing platform may evaluate integrity of the transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison. The computing platform may send one or more notifications based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.
    Type: Application
    Filed: May 28, 2021
    Publication date: December 1, 2022
    Inventors: Matthew Kristofer Bryant, Colin Murphy, Dustin Stocks
  • Publication number: 20220382737
    Abstract: Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, partially transferred data associated with an ongoing data transfer from the source to the target system and identify a second set of patterns associated with the partially transferred data. The computing platform may evaluate integrity of the partially transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison and halt the ongoing data transfer based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.
    Type: Application
    Filed: May 28, 2021
    Publication date: December 1, 2022
    Inventors: Matthew Kristofer Bryant, Colin Murphy, Dustin Stocks