Recent studies regard the use of ECG signals for biometric recognition exploiting the
possibility of these signals to be frequently recorded for long time periods without any …

Traditional one-time user authentication is vulnerable to attacks when an adversary can
obtain unauthorized privileges after a user's initial login. Continuous user authentication …

Wearable devices enable retrieving data from their porting user, among other applications.
When combining them with the Internet of Things (IoT) paradigm, a plethora of services can …

In this paper, we present noise-robust photoplethysmographic (PPG) based biometric
authentication method for wireless body area networks and m-health applications. The …

Biometric systems consist of devices, algorithms, and procedures used to recognize
individuals or classes of individuals based on their physical or behavioral characteristics …

Compared to other well-known biometric technologies based on physiological traits (eg,
fingerprint, iris, and face), heart biometrics are more robust to presentation attacks and are …

This paper explores the feasibility of using signals acquired from a photoplethysmogram
(PPG) sensor, typically used in mobile devices for heart rate monitoring, as a valid input …

Advances in the Internet of Things, such as biosensing and camera-capturing technologies,
have also resulted in biometric-based authentication approaches becoming more viable …

In this paper, we propose a novel session-based continuous authentication model using
photoplethysmography (PPG). Unlike previous PPG-based authentication techniques that …

With the increasing prevalence of mobile and IoT devices (eg, smartphones, tablets, smart-
home appliances), massive private and sensitive information are stored on these devices …