Basma Omar

Minia University

Papers

1

Total Citations

21

H-Index

1

About

Basma Omar is a leading researcher in biometric security and Internet-of-Things (IoT) systems, with a focus on developing robust, privacy-preserving authentication methods. Her most cited work introduces a cancelable biometric system for IoT applications that leverages optical double random phase encoding, addressing critical security vulnerabilities in environments where IoT robots and devices handle sensitive data. This innovative approach allows biometric templates to be transformed and revoked if compromised, a significant advancement over traditional, irreversible biometric storage. With over 21 citations on this key paper alone, Omar’s research has quickly gained traction for its practical impact on securing smart environments. Her contributions are particularly notable for bridging optical encryption techniques with real-world IoT security challenges, offering a scalable solution that enhances both usability and protection. By tackling the trade-off between convenience and safety in biometric identification, Basma Omar is shaping the future of secure, user-friendly authentication for the connected world.

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 · 11 days ago