Advanced New Technologies Co., Ltd.

Xinyi Fu

Tao Chen

Qing Lu

The application provides a method for attack detection in biometric authentication. The method may be implemented by a mobile terminal device, and comprises: obtaining sensor data of the mobile terminal device, wherein the sensor data is collected when the mobile terminal device performs biometric authentication, and the sensor data comprises acceleration sensor data of the mobile terminal device indicating accelerations of the mobile terminal device in x, y, and z axes of a three-dimensional space, and/or gyroscope data of the mobile terminal device indicating angular velocities in the x, y, and z axes of the three-dimensional space; and inputting the sensor data into an attack determination model to determine whether an attack occurs in the biometric authentication, wherein the attack determination model is trained by using sensor training data obtained based on sensor data of the mobile terminal device collected when the mobile terminal device performed biometric authentication historically.

Biometric authentication, identification and detection method and device for mobile terminal and equipment

One or more implementations of the present specification provide a risk identification model building method, and a risk identification method. From data of a target user, user state records of the target user within a predetermined duration of time are extracted, wherein the user state records include a plurality of user operations and/or a plurality of system events. The user state records are sorted based on corresponding occurrence times. A user state sequence is generated based on sorted user state records. The generated user state sequence is converted into a sequence feature. A risk identification result is generated based on a previously trained risk identification model that takes as input the sequence feature generated from the user state sequence.

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Hangzhou, China

Xinyi Fu