BEHAVIORAL BIOMETRICS USING KEYPRESS TEMPORAL INFORMATION

    公开(公告)号:US20240169040A1

    公开(公告)日:2024-05-23

    申请号:US18515128

    申请日:2023-11-20

    CPC classification number: G06F21/316

    Abstract: Embodiments include a computing device that executes software routines and/or one or more machine-learning architectures including a neural network-based embedding extraction system that to produce an embedding vector representing a user's behavior's keypresses, where the system extracts the behaviorprint embedding vector using the keypress features that the system references later for authenticating users. Embodiments may extract and evaluate keypress features, such as keypress sequences, keypress pressure or volume, and temporal keypress features, such as the duration of keypresses and the interval between keypresses, among others. Some embodiments employ a deep neural network architecture that generates a behaviorprint embedding vector representation of the keypress duration and interval features that is used for enrollment and at inference time to authenticate users.

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