Abstract: A fingerprint anti-counterfeiting method and an electronic device are provided. The fingerprint anti-counterfeiting method includes: After detecting a fingerprint input action of a user, an electronic device obtains a fingerprint image generated by the fingerprint input action, and obtains a vibration-sound signal generated by the fingerprint input action. The device determines, based on a fingerprint anti-counterfeiting model, whether the fingerprint input action is performed by a true finger. The fingerprint anti-counterfeiting model is a multi-dimensional network model obtained through learning based on fingerprint images for training and corresponding vibration-sound signals. The fingerprint anti-counterfeiting method in embodiments of this application helps improve a protection capability of the electronic device for a fake fingerprint attack.

Abstract: A method for detecting a video surveillance device includes: obtaining MAC address information and port information of at least one target device that accesses a same wireless network as the electronic device; determining, based on the MAC address information, whether the target device is a video surveillance device; if determining cannot be performed based on the MAC address information, determining, based on the port information or based on the MAC address information and the port information, whether the target device is a video surveillance device; and if determining still cannot be performed, obtaining fingerprint information of the target device by using a TCP port-based or UDP port-based probe protocol, and further determining, based on the fingerprint information, whether the target device is a video surveillance device.

Abstract: Example methods and apparatus for detecting a video surveillance device are described. In one example method, the electronic device determines a target detection channel based on information about an access point around the electronic device, where signal strength of the channel is greater than or equal to a preset threshold, and/or the channel is a channel whose frequency band is a 2.4 GHz frequency band. The electronic device obtains traffic data corresponding to a target device on the channel, and determines, based on the traffic data and a detection model, whether the target device is a video surveillance device.

Abstract: A fingerprint anti-counterfeiting method and an electronic device are provided. The fingerprint anti-counterfeiting method includes: After detecting a fingerprint input action of a user, an electronic device obtains a fingerprint image generated by the fingerprint input action, and obtains a vibration-sound signal generated by the fingerprint input action. The device determines, based on a fingerprint anti-counterfeiting model, whether the fingerprint input action is performed by a true finger. The fingerprint anti-counterfeiting model is a multi-dimensional network model obtained through learning based on fingerprint images for training and corresponding vibration-sound signals. The fingerprint anti-counterfeiting method in embodiments of this application helps improve a protection capability of the electronic device for a fake fingerprint attack.