N. Malmurugan
Papers
1
Total Citations
9
H-Index
1
About
Dr. N. Malmurugan is a prominent researcher in cybersecurity, machine learning, and wireless sensor networks, with a focus on safeguarding critical infrastructure. His most-cited work, "Hybrid Encryption Method for Health Monitoring Systems Based on Machine Learning" (2022, 9 citations), addresses vulnerabilities in transmission lines by integrating advanced encryption with machine learning to protect monitoring systems built from distributed wireless sensors. This contribution highlights his expertise in developing robust, hybrid security frameworks that enhance data integrity and resilience against disasters and vandalism. Dr. Malmurugan’s research bridges theoretical cryptography and practical IoT applications, offering scalable solutions for real-time health monitoring in vulnerable environments. His work has garnered attention for its innovative approach to securing heterogeneous sensor networks, laying groundwork for safer, smarter infrastructure systems. By combining machine learning-driven anomaly detection with encryption, he has advanced the field of cyber-physical security, making his research essential for students and engineers working on resilient monitoring technologies.
Research Focus
Key Achievements
Top Papers
- 1