Simplify virtual card numbers
US-2024070646-A1 · Feb 29, 2024 · US
Systems and methods for fraud detection
US2024412219A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024412219-A1 |
| Application number | US-202318330606-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 7, 2023 |
| Priority date | Jun 7, 2023 |
| Publication date | Dec 12, 2024 |
| Grant date | — |
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- Title
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- Abstract
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- Assignees and inventors
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- First independent claim
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- CPC / IPC classifications
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- Citations and related patents
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Abstract
Official abstract text for this publication.
Disclosed embodiments may include a system for fraud detection. The system may identify, using a web browser extension, that a user has navigated to a webpage on a user device. The system may receive, via the webpage, data associated with a transaction. Responsive to receiving the data, the system may retrieve search history data corresponding to a searching session associated with the data, and may identify a searching session path corresponding to the transaction. The system may determine, using a machine learning model (MLM) and based on the search history data and the searching session path, a likelihood of fraud associated with the data. The system may determine whether the likelihood exceeds a predetermined threshold. Responsive to determining the likelihood exceeds the predetermined threshold, the system may conduct one or more fraud prevention actions.
First claim
Opening claim text (preview).
What is claimed is: 1 . A system comprising: one or more processors; and a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to: identify, using a web browser extension, that a user has navigated to a webpage on a user device; receive, via the webpage, data associated with a transaction; responsive to receiving the data: retrieve search history data corresponding to a searching session associated with the data; and identify a searching session path corresponding to the transaction; determine, using a machine learning model (MLM) and based on the search history data and the searching session path, a likelihood of fraud associated with the data; determine whether the likelihood exceeds a predetermined threshold; and responsive to determining the likelihood exceeds the predetermined threshold, conduct one or more fraud prevention actions. 2 . A system comprising: one or more processors; and a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to: receive data associated with a transaction being conducted by a user on a webpage via a user device; responsive to receiving the data: retrieve search history data corresponding to a searching session associated with the data; and identify a searching session path corresponding to the transaction; determine, using a machine learning model (MLM) and based on the search history data and the searching session path, a likelihood of fraud associated with the data; determine whether the likelihood exceeds a predetermined threshold; and responsive to determining the likelihood exceeds the predetermined threshold, conduct one or more fraud prevention actions. 3 . A system comprising: one or more processors; and a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to: receive data associated with a transaction being conducted by a user on a webpage via a user device; retrieve search history data corresponding to a searching session associated with the data; identify a searching session path corresponding to the transaction; determine, using a machine learning model (MLM) and based on the search history data and the searching session path, a likelihood of fraud associated with the data; determine whether the likelihood exceeds a predetermined threshold; and responsive to determining the likelihood exceeds the predetermined threshold, conduct one or more fraud prevention actions.
Assignees
Inventors
Classifications
with the personal data of a user · CPC title
Virtual cards · CPC title
- G06Q20/4016Primary
involving fraud or risk level assessment in transaction processing · CPC title
Cancellation of a transaction · CPC title
Patent family
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External sources
Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US2024412219A1 cover?
- Disclosed embodiments may include a system for fraud detection. The system may identify, using a web browser extension, that a user has navigated to a webpage on a user device. The system may receive, via the webpage, data associated with a transaction. Responsive to receiving the data, the system may retrieve search history data corresponding to a searching session associated with the data, an…
- Who is the assignee on this patent?
- Capital One Services Llc
- What technology area does this patent fall under?
- Primary CPC classification G06Q20/4016. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Dec 12 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).