Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …

Data information security on wearable devices has emerged as a significant concern among
users, so it becomes urgent to explore authentication methods based on wearable devices …

A high-accuracy biometric identification system based on photoplethysmography (PPG) is
proposed in this study. Equipped with continuous quality assessment on PPG in real-time by …

The integration of liveness detection into biometric systems is crucial for countering spoofing
attacks and enhancing security. This study investigates the efficacy of …

This research examines the secure and effective combination of information in Internet of
Things (IoT) frameworks utilizing homomorphic encryption and machine learning strategies …

The rapid integration of connected technologies in modern vehicles has introduced
significant cybersecurity challenges, particularly in securing critical systems against …

In addressing the challenges of facial recognition in in the wild, our study initially
investigated computationally efficient approaches for facial recognition in uncontrolled …

Biometric identity verification is critical in security, healthcare, and personalized services.
Photoplethysmography (PPG) signals, measuring blood volume changes in small vessels …

With the advancement of wearable devices and biosensor technology, ECG and PPG are
becoming prominent for individual classification and authentication due to their unique and …

Nowadays, the Enhancing Security in Physical Layer Communications underway on
implementing the 6G radio because the attacks are increasing more on wireless edges such …