SYSTEMS AND METHODS FOR AUTHENTICATING ONLINE USERS WITH AN ACCESS CONTROL SERVER

    公开(公告)号:US20190392448A1

    公开(公告)日:2019-12-26

    申请号:US16448572

    申请日:2019-06-21

    Abstract: A computer-implemented method for authenticating an online user with an access control server (ACS) is provided. The method includes receiving, at a risk-based authentication enabled (RBA-enabled) directory server, an authentication request message including authentication data, extracting, using the RBA-enabled directory server, the authentication data from the authentication request message, transmitting the extracted authentication data to an RBA engine, generating, using the RBA engine, based at least in part on the extracted authentication data, RBA result data including a risk score, a risk analysis, and at least one reason code, transmitting the RBA result data to the RBA-enabled directory server, embedding, using the RBA-enabled directory server, the RBA result data into the authentication request message to generate an enhanced authentication request message, and transmitting the enhanced authentication request message to the ACS to enable the ACS to make an authentication decision based on the RBA result data.

    SYSTEMS AND METHODS FOR INCORPORATING BREACH VELOCITIES INTO FRAUD SCORING MODELS

    公开(公告)号:US20240095745A1

    公开(公告)日:2024-03-21

    申请号:US18519877

    申请日:2023-11-27

    CPC classification number: G06Q20/4016 G06Q20/4093 H04L63/10

    Abstract: A method and system for detecting fraudulent network events in a payment card network by incorporating breach velocities into fraud scoring models are provided. A potential compromise event is detected, and payment cards that transacted at a compromised entity associated with the potential compromise event are identified. Subsequent transaction activity for the payment cards is reviewed, and a data structure for the payment cards are generated. The data structure sorts subsequent transaction activity into fraud score range stripes. The data structure is parsed over a plurality of time periods, and at least one cumulative metric is calculated for each of the time periods in each fraud score range stripe. A plurality of ratio striping values are determined, and a set of feature inputs is generated using the ratio striping values. The feature inputs are applied to a scoring model used to score future real-time transactions initiated using the payment cards.

    SYSTEMS AND METHODS FOR INCORPORATING BREACH VELOCITIES INTO FRAUD SCORING MODELS

    公开(公告)号:US20230101117A1

    公开(公告)日:2023-03-30

    申请号:US18061813

    申请日:2022-12-05

    Abstract: A method and system for detecting fraudulent network events in a payment card network by incorporating breach velocities into fraud scoring models are provided. A potential compromise event is detected, and payment cards that transacted at a compromised entity associated with the potential compromise event are identified. Subsequent transaction activity for the payment cards is reviewed, and a data structure for the payment cards are generated. The data structure sorts subsequent transaction activity into fraud score range stripes. The data structure is parsed over a plurality of time periods, and at least one cumulative metric is calculated for each of the time periods in each fraud score range stripe. A plurality of ratio striping values are determined, and a set of feature inputs is generated using the ratio striping values. The feature inputs are applied to a scoring model used to score future real-time transactions initiated using the payment cards.

    SYSTEMS AND METHODS FOR INCORPORATING BREACH VELOCITIES INTO FRAUD SCORING MODELS

    公开(公告)号:US20200211022A1

    公开(公告)日:2020-07-02

    申请号:US16235529

    申请日:2018-12-28

    Abstract: A method and system for detecting fraudulent network events in a payment card network by incorporating breach velocities into fraud scoring models are provided. A potential compromise event is detected, and payment cards that transacted at a compromised entity associated with the potential compromise event are identified. Subsequent transaction activity for the payment cards is reviewed, and a data structure for the payment cards are generated. The data structure sorts subsequent transaction activity into fraud score range stripes. The data structure is parsed over a plurality of time periods, and at least one cumulative metric is calculated for each of the time periods in each fraud score range stripe. A plurality of ratio striping values are determined, and a set of feature inputs is generated using the ratio striping values. The feature inputs are applied to a scoring model used to score future real-time transactions initiated using the payment cards.

    SYSTEMS AND METHODS FOR MULTI-STAGE RESIDUAL MODELING APPROACH FOR ANALYSIS AND ASSESSMENT

    公开(公告)号:US20240303650A1

    公开(公告)日:2024-09-12

    申请号:US18179094

    申请日:2023-03-06

    CPC classification number: G06Q20/401 G06F30/20 G06Q20/407

    Abstract: A computer system for multi-stage residual modeling for authorizing an online user is provided. The computer system is programmed to store a plurality of models for analyzing transactions including a first model and a second model; receive a plurality of authorization data associated with a user and a transaction associated with the user; execute in real-time the first model using the plurality of authorization data to receive a first output for the first model, wherein the first output is within an output range; determine a remainder from the first model based on the first output and the output range; execute the second model using the plurality of authorization data and the remainder to generate a second output; combine the first output and the second output to generate a final output; and return the final output for decisioning on whether to authorize the transaction.

    Systems and methods for incorporating breach velocities into fraud scoring models

    公开(公告)号:US11830007B2

    公开(公告)日:2023-11-28

    申请号:US18061813

    申请日:2022-12-05

    CPC classification number: G06Q20/4016 G06Q20/4093 H04L63/10

    Abstract: A method and system for detecting fraudulent network events in a payment card network by incorporating breach velocities into fraud scoring models are provided. A potential compromise event is detected, and payment cards that transacted at a compromised entity associated with the potential compromise event are identified. Subsequent transaction activity for the payment cards is reviewed, and a data structure for the payment cards are generated. The data structure sorts subsequent transaction activity into fraud score range stripes. The data structure is parsed over a plurality of time periods, and at least one cumulative metric is calculated for each of the time periods in each fraud score range stripe. A plurality of ratio striping values are determined, and a set of feature inputs is generated using the ratio striping values. The feature inputs are applied to a scoring model used to score future real-time transactions initiated using the payment cards.

    SYSTEMS AND METHODS FOR IDENTIFYING FULL ACCOUNT NUMBERS FROM PARTIAL ACCOUNT NUMBERS

    公开(公告)号:US20230206317A9

    公开(公告)日:2023-06-29

    申请号:US17138437

    申请日:2020-12-30

    CPC classification number: G06Q40/02 G06F17/18 G06F16/9017

    Abstract: A system for identifying complete account identifiers from partial account identifiers is provided. The system includes an account identification computing device including at least one processor and a memory device in communication with the at least one processor. The processor is configured to receive transaction data including unique merchant identifiers, build a merchant table using the transaction data, and receive a list including partial account identifiers. The processor is further configured to determine, for each unique merchant identifier, a number of candidate account identifiers and calculate at least one metric based on the number of candidate account identifiers. The processor is further configured to identify a source unique merchant identifier and match at least one candidate account identifier to a complete account identifier by matching one of the partial account identifiers to the at least one candidate account identifier.

    SYSTEMS AND METHODS FOR ADVANCED VELOCITY PROFILE PREPARATION AND ANALYSIS

    公开(公告)号:US20210312450A1

    公开(公告)日:2021-10-07

    申请号:US16837673

    申请日:2020-04-01

    Abstract: A system is provided. The system includes a computing device including at least one processor in communication with at least one memory device. The at least one processor is programmed to receive a plurality of data points. The at least one processor is also programmed to sort the plurality of data points into chronological order. The at least one processor is further programmed to divide the plurality of data points into a plurality of subsets. Each subset of the plurality of subsets represents a period of time. In addition, the at least one processor is programmed to process each subset to determine a velocity value for the individual subset. Moreover, the at least one processor is programmed to combine the plurality of velocity values to determine a final velocity value.

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