Hairoladenan Kasim

Universiti Tenaga Nasional

Papers

1

Total Citations

10

H-Index

1

About

Dr. Hairoladenan Kasim is a researcher at the forefront of cybersecurity and intelligent systems, with a particular focus on securing the Internet of Things (IoT) through advanced image processing techniques. His most cited work, a 2023 review paper with 10 citations, critically examines a pressing gap in IoT security: how to protect processed image data—such as features extracted by robots or AI—before it is transmitted to other parties. This contribution highlights his dedication to ensuring that the benefits of automation and computer vision do not come at the cost of privacy or data integrity. Dr. Kasim’s research bridges the domains of image processing, machine learning, and cybersecurity, addressing real-world vulnerabilities in smart systems. By identifying the lack of secure schemes for post-processing image data, he has laid essential groundwork for developing robust encryption and privacy-preserving protocols tailored to IoT environments. His work is particularly valuable for researchers and engineers building secure, intelligent applications in robotics, surveillance, and smart infrastructure. With a growing citation footprint, Dr. Kasim is establishing himself as a key voice in the quest to make connected systems both smarter and safer.

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