SYSTEMS AND METHODS FOR SMART REMEDIATION FOR TRANSACTIONS

    公开(公告)号:US20240152924A1

    公开(公告)日:2024-05-09

    申请号:US17980907

    申请日:2022-11-04

    Applicant: STRIPE, INC.

    CPC classification number: G06Q20/4016 G06Q20/407 G06Q20/34

    Abstract: Systems and methods for smart remediation of transactions are disclosed. A payment processing system receives information of a first transaction with a merchant. The system approves the first transaction and identifies a monitoring period which may be a set amount of time after the approval of the first transaction. The system collects data of one or more second transactions during the monitoring period, and provides the data to a machine learning model. The machine learning model determines a first fraud score indicative of fraud for the first transaction. A fraud threshold may be identified based on one or more merchant profiles. If the first fraud score is above the first fraud threshold, a refund may be provided for the first transaction.

    DATA MANAGEMENT USING SECURE BROWSERS
    253.
    发明公开

    公开(公告)号:US20240143735A1

    公开(公告)日:2024-05-02

    申请号:US17979648

    申请日:2022-11-02

    Applicant: Stripe, Inc.

    Inventor: Akshay Joshi

    CPC classification number: G06F21/53 G06F21/577 G06F2221/033

    Abstract: Various embodiments described herein support or provide for data management operations, such as receiving a request to access a webpage; determining that accessing the webpage requires secure access via a secure browser; identifying a virtual machine that is configured to allow access to the webpage; and causing display of the webpage in the secure browser embedded in a local browser of the sender device.

    SYSTEMS AND METHODS FOR HARD DELETION OF DATA ACROSS SYSTEMS

    公开(公告)号:US20240126908A1

    公开(公告)日:2024-04-18

    申请号:US18390060

    申请日:2023-12-20

    Applicant: Stripe, Inc.

    Abstract: A method and apparatus for hard deletion of user data are described. The method may include receiving a request from a user computer system to delete user data. The method may also include determining a unique user identifier associated by a system with a user making the request. The method may also include determining whether a data partition, in which data generated by a job or subsystem of the computer system is stored, is predicted to contain a record having the unique user identifier. Then, the method may include searching, when the data partition is predicted to contain a record having the unique user identifier, data records stored in the data partition for a user data record based on the unique identifier, and performing a hard deletion of the user data record from the partition when found during the searching.

    System and method for mounting a magnetic card reader head onto a card reader

    公开(公告)号:USRE49888E1

    公开(公告)日:2024-03-26

    申请号:US16375131

    申请日:2019-04-04

    Applicant: Stripe, Inc.

    CPC classification number: G06K7/082

    Abstract: A magnetic reader head assembly includes a magnetic reader head compartment, a frame and an elastic component. The magnetic reader head compartment comprises electronic and mechanical components of the magnetic reader head. The frame has a front side and a back side and has a footprint matching the footprint of the magnetic reader head compartment. The front side is configured to attach to a back wall of the magnetic reader head compartment while allowing the magnetic reader head compartment to move out or retract from the frame. The elastic component is configured to be placed at the back side of the frame and to push the frame out in order to press the magnetic reader head compartment against a magnetic card stripe.

    SYSTEMS AND METHODS FOR BLOCK RATE MATCHING WHEN UPDATING A MACHINE LEARNING MODEL BASED FRAUD DETECTION SYSTEM

    公开(公告)号:US20240095741A1

    公开(公告)日:2024-03-21

    申请号:US17947036

    申请日:2022-09-16

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/4016

    Abstract: A method and apparatus for machine learning model based fraud detection of transactions are described. The method may include determining, by a fraud detection system, a first block rate of a first fraud detection machine learning model (MLM) that scores transactions of a server computer system, wherein the fraud detection system blocks a transaction when a score generated for the transaction by the first fraud detection MLM does not satisfy a first threshold value. The method may also include accessing, by the fraud detection system, a second fraud detection MLM to be used by the fraud detection system for blocking future transactions. Furthermore, the method may include determining, by the fraud detection system, a second threshold value using a set of prior transactions input into the second fraud detection MLM that results in a second block rate of the second fraud detection MLM within a predetermined margin of the first threshold. The method may also include deploying, by the server computer system, the second fraud detection MLM using the second threshold value for performing fraud detection of at least one new transaction processed by the server computer system.

    Offline mode for distribution of encryption keys

    公开(公告)号:US11935040B1

    公开(公告)日:2024-03-19

    申请号:US17302447

    申请日:2021-05-03

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/3829 G06Q2220/10

    Abstract: Methods, systems, and media are provided for enabling encryption key distribution when a processor is in offline mode. When offline, key distribution servers can distribute private/public key pairs in place of the processor. The servers can distribute a private key to a first server for encryption of data and a public key to the processor, when it is online, to decrypt the data.

    METHOD AND SYSTEM FOR COMMUNICATING LOCATION OF A MOBILE DEVICE FOR HANDS-FREE PAYMENT

    公开(公告)号:US20240086889A1

    公开(公告)日:2024-03-14

    申请号:US18508760

    申请日:2023-11-14

    Applicant: Stripe, Inc.

    Inventor: Mehran Moshfeghi

    Abstract: Certain aspects of a method and system for communicating location of a mobile device for hands-free payment may include a peer-to-peer ad-hoc network that comprises a plurality of mobile devices, a plurality of access points, and a plurality of point of sale (POS) devices. A first mobile device may determine its location coordinates and communicate them to a selected POS device via the peer to peer ad-hoc network. At least one of the plurality of mobile devices and/or the plurality of access points may be within a defined proximity of the selected POS device. In some instances, the first POS device may receive via one or more intermediate mobile devices in the peer-to-peer ad-hoc network, location coordinates and payment transaction information of a selected mobile device. At least one of the intermediate mobile devices maybe within a defined proximity of the first POS device.

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