Rana M. Nassar

Minia University

Papers

1

Total Citations

21

H-Index

1

About

Rana M. Nassar is a leading researcher at the intersection of biometric security and the Internet of Things (IoT), with a particular focus on safeguarding next-generation autonomous systems. Her most-cited work, "Cancelable biometric system for IoT applications based on optical double random phase encoding" (2022, 21 citations), pioneers a novel approach to protecting biometric data in IoT environments—especially for robotic systems. By integrating optical double random phase encoding with cancelable biometrics, Nassar addresses the critical challenge of securing sensitive user data while maintaining system usability. This work is foundational for enabling secure, privacy-preserving access control in smart environments, from industrial IoT robots to personal devices. Her research directly tackles the vulnerability of biometric templates to theft or misuse, offering a mathematically robust solution that allows biometric data to be revoked and reissued—much like a password. Through this innovative fusion of optical encryption and biometric template protection, Nassar is shaping the future of secure human-machine interaction in the IoT era.

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 · 13 days ago