ATM leveraging edge devices for offline processing

    公开(公告)号:US12020224B2

    公开(公告)日:2024-06-25

    申请号:US17989790

    申请日:2022-11-18

    IPC分类号: G06Q20/10 G06Q20/32 G06Q20/40

    摘要: A system for facilitating offline processing of electronic transactions at an ATM when the ATM does not support a network connection may be provided. The system may include a mobile device configured to store an updatable account balance of a personal account associated with a user of the mobile device and transaction data associated with a plurality of transactions executed via the mobile device. The system may include the ATM being configured to operate in an offline processing mode when the network connection is unsupported. The offline processing mode may include the ATM receiving a transaction request and account data from the mobile device. The ATM may be configured to authenticate or deny the executing of the transaction request based on a predetermined threshold of transaction locations positioned at a distance greater than or less than a pre-determined distance from the ATM.

    Information security system and method for machine-to-machine (M2M) security and validation

    公开(公告)号:US11979396B2

    公开(公告)日:2024-05-07

    申请号:US17324165

    申请日:2021-05-19

    IPC分类号: H04L9/40

    摘要: A system for implementing Machine-to-Machine (M2M) validation receives a request from a unrecognized computing device to establish a communication with a first trusted computing device. The first trusted computing device sends a query message to a second trusted computing device to determine whether the unrecognized computing device is in a list of trusted devices associated with the second trusted computing device. The first trusted computing device receives a response message from the second trusted computing device indicating that the unrecognized computing device is in the list of trusted devices. In response, to receiving the response message, the first trusted computing device approves the request of the unrecognized computing device.

    PRO-ACTIVE DIGITAL WATCH CENTER
    76.
    发明公开

    公开(公告)号:US20230421431A1

    公开(公告)日:2023-12-28

    申请号:US17851151

    申请日:2022-06-28

    IPC分类号: H04L41/0654 H04L41/16

    CPC分类号: H04L41/0654 H04L41/16

    摘要: A computer system for optimizing an application for monitoring operation of a network is provided. The application may utilize Artificial Intelligence (AI). The computer system may be configured to detect a network transaction volume level that exceeds a first threshold level. In response to a detection of the network transaction volume level that exceeds a first threshold level, the system may utilize the AI to determine whether to implement one or more over-threshold-level mitigation techniques. When the AI instructs the processor to implement the one or more over-threshold-level mitigation techniques, the system may query the AI for an instruction directing an implementation of the over-threshold-level mitigation techniques.

    MODEL OPTIMIZATION AND STABILIZATION USING QUANTUM COMPUTING

    公开(公告)号:US20230376820A1

    公开(公告)日:2023-11-23

    申请号:US17663728

    申请日:2022-05-17

    发明人: Maharaj Mukherjee

    IPC分类号: G06N10/60

    CPC分类号: G06N10/60

    摘要: Aspects of the disclosure relate to machine learning and quantum computing. A computing platform may receive historical information, which may include feature information and rate of change information. The computing platform may train, a ML model, by inputting the feature information and the rate of change information, which may make the ML model stable against data drift. The computing platform may receive a first query, input the first query into the ML model, to identify a solution to the first query, which may include identifying a first solution, perturbing the first solution a number of times, and ultimately identifying a second solution, more accurate than the first solution. The computing platform may send this second solution to the user device.

    Digital Check Disbursement Using Digital Chip and Distributed Ledger Methods

    公开(公告)号:US20230325789A1

    公开(公告)日:2023-10-12

    申请号:US17717561

    申请日:2022-04-11

    IPC分类号: G06Q20/04

    CPC分类号: G06Q20/0425

    摘要: Aspects of the disclosure relate to digital check processing. A computing platform may receive, from a first recipient, a request to transfer a first portion of funds, corresponding to the first digital check image, to a second recipient account and a second portion of the funds, corresponding to the first digital check image, to a third recipient account. The computing platform may generate second and third digital check images representative of the first and second portions of the funds respectively. Based on successful validation of the second digital check image and the third digital check image, the computing platform may embed, into the second and third digital check images, a digital chip that indicates the successful validation. The computing platform may send, to the second recipient account and the third recipient account, the second and third digital check images respectively.

    Abstraction Layer for Efficient Transliteration of Machine Interpretable Languages

    公开(公告)号:US20230130019A1

    公开(公告)日:2023-04-27

    申请号:US17557418

    申请日:2021-12-21

    摘要: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may receive a request to perform a data migration from a first database configured in a first format to a second database configured in a second format. The computing platform may receive, from the client application and at an abstraction layer, a query. Based on identifying that the query is formatted for execution at the second database, the computing platform may route the query to the second database for execution. Based on identifying that the query is not formatted for execution at the second database, the computing platform may: 1) translate the query from the first format to the second format by using pre-verified query keys to convert the query from the first format into the second format, and 2) route the translated query to the second database for execution.