Continuous and Secure Authentication Based on PPG and Galvanic Communication Signals
Abstract
Biometric authentication supports different applications and has gained a key role in wearable networks by overcoming limitations on the human-machine interfaces of their devices. Authentication methods often rely on unique events, such as iris or face recognition, requiring validation of the user's identity whenever they need access to the system. However, with the recent inclusion of biosensors in wearable devices, some signals are constantly being collected, allowing for continuous authentication. However, existing methods of continuous authentication via ECG and EMG are costly, complex or inconvenient for the user. Thus, to overcome these problems, this paper proposes the BEAT system, which uses photoplethysmogram (PPG) biosignals to estimate volumetric changes in blood flow. In addition, the BEAT system transmits signals collected by the skin (i.e. galvanic coupling communication), with epithelial tissue being a safe secondary channel against radiofrequency based attacks. The results of experimental evaluations demonstrate the viability and efficiency of the system.
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