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公开(公告)号:US20250013749A1
公开(公告)日:2025-01-09
申请号:US18895529
申请日:2024-09-25
Applicant: Bank of America Corporation
Inventor: Matthew Murray , Garrett Botkin , Dustin Stocks
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.
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公开(公告)号:US12147538B2
公开(公告)日:2024-11-19
申请号:US17872354
申请日:2022-07-25
Applicant: Bank of America Corporation
Inventor: Matthew Murray , Garrett Botkin , Dustin Stocks
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.
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公开(公告)号:US12050587B2
公开(公告)日:2024-07-30
申请号:US17334659
申请日:2021-05-28
Applicant: Bank of America Corporation
Inventor: Matthew Kristofer Bryant , Colin Murphy , Dustin Stocks
CPC classification number: G06F16/2365 , G06F11/0784 , G06F16/285 , G06F11/0775
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.
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公开(公告)号:US12056112B2
公开(公告)日:2024-08-06
申请号:US17334646
申请日:2021-05-28
Applicant: Bank of America Corporation
Inventor: Matthew Kristofer Bryant , Colin Murphy , Dustin Stocks
IPC: G06F16/23 , G06F16/215 , G06F16/28 , G06N20/00 , G06F16/21
CPC classification number: G06F16/2365 , G06F16/215 , G06F16/285 , G06N20/00
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.
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公开(公告)号:US20240028727A1
公开(公告)日:2024-01-25
申请号:US17872354
申请日:2022-07-25
Applicant: Bank of America Corporation
Inventor: Matthew Murray , Garrett Botkin , Dustin Stocks
CPC classification number: G06F21/568 , G06F21/53 , G06F21/566 , G06T7/90 , G06T2207/10024
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.
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公开(公告)号:US20220382737A1
公开(公告)日:2022-12-01
申请号:US17334646
申请日:2021-05-28
Applicant: Bank of America Corporation
Inventor: Matthew Kristofer Bryant , Colin Murphy , Dustin Stocks
IPC: G06F16/23 , G06F16/215 , G06F16/28 , G06N20/00
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.
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公开(公告)号:US20220382618A1
公开(公告)日:2022-12-01
申请号:US17334659
申请日:2021-05-28
Applicant: Bank of America Corporation
Inventor: Matthew Kristofer Bryant , Colin Murphy , Dustin Stocks
IPC: G06F11/07
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.
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