FEATURE DRIFT HARDENED ONLINE APPLICATION ORIGINATION (OAO) SERVICE FOR FRAUD PREVENTION SYSTEMS

    公开(公告)号:US20200280578A1

    公开(公告)日:2020-09-03

    申请号:US16804731

    申请日:2020-02-28

    Abstract: A fraud prevention system that includes a fraud prevention server including an electronic processor and a memory. The memory includes a feature drift hardened online application origination (OAO) service. When executing the feature drift hardened OAO service, the electronic processor is configured to detect, with respect to a first OAO model, feature drift in a dataset of an online application that exceeds a predefined threshold, generate one or more feature drift hardened OAO models that mitigate the feature drift, determine a fraud score of the online application based on the one or more feature drift hardened OAO models that differentiates between a behavior of a normal user and a behavior of a nefarious actor during a submission of the online application on a device and mitigates the feature drift, and control a client server to approve, hold, or deny the online application based on the fraud score.

    OPTIMIZED EXECUTION OF FRAUD DETECTION RULES

    公开(公告)号:US20200082413A1

    公开(公告)日:2020-03-12

    申请号:US16567148

    申请日:2019-09-11

    Abstract: Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The retrieval of data from the various data sources is optimized based on data dependencies within the rules. By knowing the data dependencies of each rule and utilizing parallelization of rule execution, the retrievals of data from the data sources is achieved efficiently so the rules can be executed quickly.

    Systems and methods for distinguishing among human users and software robots

    公开(公告)号:US10127373B1

    公开(公告)日:2018-11-13

    申请号:US15588124

    申请日:2017-05-05

    Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating a shuffled image that encodes a challenge text, the generating comprising: generating an initial image encoding the challenge text; dividing the initial image into image portions; and generating the shuffled image as a shuffled arrangement of the image portions; generating decoding information for revealing the challenge text encoded in the shuffled image; transmitting the shuffled image and the decoding information to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

    TRANSPILATION OF FRAUD DETECTION RULES TO NATIVE LANGUAGE SOURCE CODE

    公开(公告)号:US20200082079A1

    公开(公告)日:2020-03-12

    申请号:US16567352

    申请日:2019-09-11

    Abstract: Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The generated rules with distinct data paths are then converted using a transpiler from the scripting language into native language source code (e.g., PHP, Java, etc.) for deployment in a particular environment. The rules are then executed in real-time in the environment to detect potential fraudulent activity.

    SYSTEMS AND METHODS FOR DETECTING AND PREVENTING SPOOFING

    公开(公告)号:US20190149567A1

    公开(公告)日:2019-05-16

    申请号:US16232789

    申请日:2018-12-26

    Abstract: Techniques for ascertaining legitimacy of communications received during a digital interaction with a client device. The techniques include: receiving a communication; identifying from the communication a first secured token; processing the first secured token by: obtaining, from the first secured token, information indicating a state of the digital interaction; and using the information indicating the state to determine whether the communication is from the client device; and when it is determined that the communication is from the client device, causing at least one action responsive to the communication to be performed; updating the information indicating the state of the digital interaction to obtain updated information indicating the state of the digital interaction; and providing a second secured token to the client device for use in a subsequent communication during the digital interaction, the second secured token comprising the updated information indicating the state of the digital interaction.

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