Safaa El‐Gazar

Minia University

Papers

1

Total Citations

21

H-Index

1

About

Safaa El‐Gazar is a leading researcher at the intersection of biometric security and the Internet of Things (IoT), with a particular focus on safeguarding emerging robotic and sensitive environments. Her key research areas include cancelable biometrics, optical encryption, and IoT security. Her most notable contribution is the development of a cancelable biometric system for IoT applications based on optical double random phase encoding. This innovative work, published in 2022 and already garnering 21 citations, addresses a critical vulnerability: how to secure biometric data—such as fingerprints or iris scans—used to control IoT robots and access sensitive systems. By employing optical encryption, her method ensures that even if biometric templates are compromised, they can be revoked and replaced, preventing identity theft. This work is pivotal for enhancing the usability and security of IoT devices in high-stakes environments. El‐Gazar’s research is essential reading for students and engineers working on next-generation authentication systems, demonstrating how advanced optical techniques can solve real-world security challenges in the rapidly expanding IoT landscape.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Cancelable biometric system for IoT applications based on optical double random phase encoding
21 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Minia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago