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2360 条记录 (耗时 0.037 秒)

    De-tokenization patterns and solutions
    42.
    发明授权
    De-tokenization patterns and solutions 有权

    公开(公告)号：US11966488B2

    公开(公告)日：2024-04-23

    申请号：US18072016

    申请日：2022-11-30

    申请人： Capital One Services, LLC

    发明人： Naveen Teja Koduru ,  Kishore Doppalapudi ,  Siva Vegesana

    IPC分类号： G06F21/60 ,  G06F16/25 ,  G06F21/62 ,  H04L29/06 ,  G06Q50/26

    CPC分类号： G06F21/6227 ,  G06F16/254 ,  G06Q50/265

    摘要： Methods and systems of data de-tokenization are described herein to provide solutions to utilizing tokenized data files. A de-tokenization service controller may extract instances of tokenized data by determining a schema associated with a tokenized file, wherein the schema identifies which fields contain tokenized data. A decryption system may decrypt the tokens and send decrypted sensitive values to the de-tokenization service controller. The de-tokenization service controller may then generate a de-tokenized data file comprising a plurality of records corresponding to the plurality of original tokenized records, using the decrypted sensitive values in place of the instances of tokenized data. In some embodiments, the methods may further comprise generating a validated file by adding one or more fields indicating the results of validation based on a set of validation rules. The methods may further comprise re-tokenizing the de-tokenized data file, before storing the data files again in a re-tokenized data storage.

    Determining opt-out compliance to prevent fraud risk from user data exposure
    46.
    发明授权
    Determining opt-out compliance to prevent fraud risk from user data exposure 有权

    公开(公告)号：US11948219B1

    公开(公告)日：2024-04-02

    申请号：US18342384

    申请日：2023-06-27

    申请人： PrivacyHawk, Inc

    发明人： Aaron Mendes ,  Justin Wright

    IPC分类号： G06Q10/10 ,  G06F18/25 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q50/26

    CPC分类号： G06Q50/265 ,  G06F18/25

    摘要： Disclosed are techniques for determining opt-out compliance to prevent user data exploitation. In an aspect, a user device scans an email account of a user of the user device to identify a list of commercial email domains from which the email account has received one or more emails, transmits an opt-out request to a commercial email domain on the list of commercial email domains, receives an opt-out response from the commercial entity, wherein the opt-out response comprises an email or a webform containing natural language text indicating a response to the opt-out request, applies a machine learning model to the opt-out response to classify, based on the natural language text indicating the response to the opt-out request, a type of the opt-out response as one of a plurality of types of opt-out responses, and displays a notification indicating the type of the opt-out response determined by the machine learning model.

    METHOD FOR DETERMINING DANGEROUSNESS OF PERSON, APPARATUS, SYSTEM AND STORAGE MEDIUM
    49.
    发明公开
    METHOD FOR DETERMINING DANGEROUSNESS OF PERSON, APPARATUS, SYSTEM AND STORAGE MEDIUM 审中-公开

    公开(公告)号：US20240095862A1

    公开(公告)日：2024-03-21

    申请号：US18274516

    申请日：2021-02-03

    申请人： BOE Technology Group Co., Ltd.

    发明人： Xibo ZHOU

    IPC分类号： G06Q50/26

    CPC分类号： G06Q50/265

    摘要： Disclosed are a method for determining the dangerousness of a person, an apparatus, a system and a storage medium. The method includes: generating a historical trajectory of a specific person according to historical data of the specific person acquired by a plurality of devices within a designated time period, where the historical data includes a person identifier of the specific person, an acquisition time and a device identifier; determining suspicious behaviors of the specific person appearing in the historical trajectory by means of analyzing behaviors of the specific person according to the historical trajectory of the specific person; determining a suspicious level of the specific person according to a frequency of at least one of the suspicious behaviors appearing in a corresponding historical trajectory; and determining that the specific person is dangerous in a case that the suspicious level exceeds a first set threshold.