G Mohanbabu
Papers
1
Total Citations
3
H-Index
1
About
G. Mohanbabu is a researcher focused on enhancing the security and energy efficiency of wireless sensor networks (WSNs), a critical area for applications ranging from battlefield surveillance to healthcare. His most-cited work, "Scalable and Energy Efficient Cluster Based Anomaly Detection against DoS Attacks in WSN" (2022), addresses the vulnerability of WSNs to denial-of-service (DoS) attacks, proposing a scalable, cluster-based anomaly detection method that balances energy consumption with robust security. This contribution is particularly significant as it tackles the dual challenges of resource constraints and open-network vulnerabilities in WSNs, offering a practical solution for real-world deployment. With 3 citations, his work is gaining traction among peers seeking to fortify IoT and sensor-based systems. Mohanbabu’s research underscores a commitment to advancing secure, sustainable communication technologies, making him a notable voice in the field of network security and energy-aware computing.
Research Focus
Key Achievements
Top Papers
- 1