CARRIER SIGNALING BASED AUTHENTICATION AND FRAUD DETECTION

    公开(公告)号:US20240022662A1

    公开(公告)日:2024-01-18

    申请号:US18221802

    申请日:2023-07-13

    IPC分类号: H04M3/42 H04M3/51

    摘要: Disclosed are systems and methods including computing-processes, which may include layers of machine-learning architectures, for assessing risk for calls directed to call center systems using carrier signaling metadata. A computer evaluates carrier signaling metadata to perform various new risk-scoring techniques to determine riskiness of calls and authenticate calls. When determining a risk score for an incoming call is received at a call center system, the computer may obtain certain metadata values from inbound metadata, prior call metadata, or from third-party telecommunications services and executes processes for determining the risk score for the call. The risk score operations include several scoring components, including appliance print scoring, carrier detection scoring, ANI location detection scoring, location similarity scoring, and JIP-ANI location similarity scoring, among others.

    Spoof call detection in telephone network

    公开(公告)号:US11849068B2

    公开(公告)日:2023-12-19

    申请号:US17854124

    申请日:2022-06-30

    摘要: Computer-implemented methods of placing and processing calls in a communications network are provided. The computer-implemented method of processing calls in a telephone network comprises: identifying a plurality of calls that have been made by a particular telephone number to telephone numbers in the telephone network; determining whether a sequence in which the calls were placed corresponds to a correct order for calling those telephone numbers, the correct order being determined based on a predetermined order for calling telephone numbers in the telephone network; and determining that one or more of the calls were made by spoofing the particular telephone number if the sequence in which the calls were placed does not correspond to a correct order.

    Detecting scam callers using conversational agent and machine learning systems and methods

    公开(公告)号:US11818289B2

    公开(公告)日:2023-11-14

    申请号:US17897792

    申请日:2022-08-29

    发明人: Ovidiu Serban

    摘要: Systems and methods for detecting indications of a scam caller are disclosed. Call data, such as call audio, is received and used to create a training dataset. Using the training dataset, a machine learning model is trained to detect indications of a scam caller in a phone call. An Interactive Voice Response (IVR) model is trained or configured, using voice samples of speech of a subscriber of a telecommunications service provider, to simulate speech and conversation of the subscriber. A conversational agent is generated using the IVR model and the trained machine learning model. The conversational agent receives a phone call, engages a caller in simulated conversation, and detects indications of whether the caller is a likely scam caller. If the caller is determined to be a likely scam caller, an alert can be generated and/or the call can be disconnected.

    TRANSACTION FRAUD PREVENTION TOOL
    10.
    发明公开

    公开(公告)号:US20230254408A1

    公开(公告)日:2023-08-10

    申请号:US18304145

    申请日:2023-04-20

    IPC分类号: H04M3/51 G06Q20/40

    摘要: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.