ALTERNATE USER COMMUNICATION ROUTING
    12.
    发明申请

    公开(公告)号:US20200329043A1

    公开(公告)日:2020-10-15

    申请号:US16915371

    申请日:2020-06-29

    Abstract: A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.

    ALTERNATE USER COMMUNICATION ROUTING
    13.
    发明申请

    公开(公告)号:US20200329042A1

    公开(公告)日:2020-10-15

    申请号:US16915356

    申请日:2020-06-29

    Abstract: A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.

    SYSTEM FOR DETECTION AND CLASSIFICATION OF INTRUSION USING MACHINE LEARNING TECHNIQUES

    公开(公告)号:US20230089968A1

    公开(公告)日:2023-03-23

    申请号:US18072526

    申请日:2022-11-30

    Abstract: Systems, computer program products, and methods are described herein for detection and classification of intrusion using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an indication that the user has initiated a first resource interaction; retrieve information associated with the first resource interaction, wherein the information comprises at least one or more parameters associated with the first resource interaction; initiate a machine learning model on the one or more parameters associated with the first resource interaction; and classify, using the machine learning model, the first resource interaction into one or more classes, wherein the one or more classes comprises one or more access types.

    Alternate user communication routing

    公开(公告)号:US11336646B2

    公开(公告)日:2022-05-17

    申请号:US16915371

    申请日:2020-06-29

    Abstract: A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.

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