HOT WALLET PROTECTION USING A LAYER-2 BLOCKCHAIN NETWORK

    公开(公告)号:US20240354743A1

    公开(公告)日:2024-10-24

    申请号:US18630315

    申请日:2024-04-09

    申请人: PayPal, Inc.

    摘要: Methods and systems for digital hot wallet protection are provided. A payment channel is established via a Layer-2 network of a cryptocurrency blockchain for transferring a cryptocurrency balance from a first digital wallet of a service provider to a second digital wallet of a trusted entity over a plurality of commitment transactions. A transaction receipt for each commitment transaction is transmitted to the trusted entity via a secure communication channel previously established between the service provider and the trusted entity outside of the Layer-2 network. A transaction log of the service provider is modified so that it no longer represents the current transaction state of the payment channel. Responsive to detecting a breach of the first wallet, a transaction is broadcast to a Layer-1 network of the blockchain for transferring the total cryptocurrency balance from the first wallet to the second wallet.

    Automated Manipulation and Monitoring of Embeddable Browsers

    公开(公告)号:US20240348520A1

    公开(公告)日:2024-10-17

    申请号:US18610210

    申请日:2024-03-19

    申请人: PayPal, Inc.

    摘要: Techniques are disclosed relating to monitoring network traffic of an embeddable browser displayed by an application executing on a mobile computing device. In some embodiments, a first layer of the application manipulates one or more user interface elements displayed in the embeddable browser. The first layer of the application then detects network requests made by one or more application programming interfaces (APIs) executed by the embeddable browser in response to the manipulating. In some embodiments, the first layer sends to a second layer of the application results of observing network requests. In some embodiments, the second layer of the application displays, in real-time, information corresponding to the results of observing network requests. The disclosed techniques for monitoring activity on an embeddable browser included in mobile applications despite mobile security restrictions may advantageously reduce or remove wait times associated with manipulating and observing content of the embeddable browser.

    MULTI-MODAL TRANSACTION CLASSIFICATION FRAMEWORK

    公开(公告)号:US20240346576A1

    公开(公告)日:2024-10-17

    申请号:US18301574

    申请日:2023-04-17

    申请人: PAYPAL, INC.

    IPC分类号: G06Q40/00

    CPC分类号: G06Q40/00

    摘要: Methods and systems are presented for providing a multi-modal machine learning model framework for using enriched data to improve the accuracy of a machine learning model in classifying transactions. Upon receiving a request to process a transaction associated with a purchase of an item, a classification system extracts text data associated with the transaction from the request. Based on the text data, the classification system retrieves additional data related to the item. The additional data is of different modality than the text data. The classification system may transform the text data and the additional data into respective vectors, and merge the vectors for use as input data for the machine learning model. Based on the merged vectors, the classification system obtains multiple classification scores from the machine learning model. The classification system then classifies the transaction based on the multiple classification scores, and processes the transaction according to the classification.