Rina Azlin Razali

Universiti Tenaga Nasional

Papers

1

Total Citations

10

H-Index

1

About

Dr. Rina Azlin Razali is a leading researcher at the intersection of image processing, cybersecurity, and the Internet of Things (IoT). Her work addresses a critical vulnerability in modern smart systems: how to secure visual data once it has been captured and processed by edge devices. In her highly cited 2023 review, "A Role of Image Processing Techniques to Enhancing Security of IoT Applications," Dr. Razali systematically examines the security gaps that arise when processed images—containing extracted features or meaningful information—are transmitted between autonomous machines and cloud servers. With over 10 citations in a short time, this work has become a foundational reference for engineers designing privacy-preserving IoT pipelines. Her contributions are particularly notable for bridging the gap between computer vision efficiency and cryptographic robustness, proposing frameworks that ensure sensitive visual data remains protected without compromising real-time performance. Dr. Razali’s research is essential reading for anyone building secure, intelligent systems where cameras and robots must share information safely.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Review on Role of Image Processing Techniques to Enhancing Security of IoT Applications
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Universiti Tenaga Nasional

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago