A Smart Hardware Security Engine Combining Entropy Sources of ECG HRV and SRAM P

Abstract

Securing personal data in wearable devices is becoming a crucial necessity as wearable devices are being deployed ubiquitously, which inadvertently exposes them to more sophisticated adversarial attacks. Although authentication sys- tems using a single-entropy source, such as fingerprint or iris, are being used widely, successful spoofing attacks have been made, which show such systems’ vulnerability. To mitigate these issues, new biometric modalities [e.g., electrocardiogram (ECG) and photoplethy