G. Mohanbabu
Papers
1
Total Citations
27
H-Index
1
About
G. Mohanbabu’s research centers on cybersecurity, wireless sensor networks (WSNs), and energy-efficient anomaly detection, with a particular focus on countering denial-of-service (DoS) attacks. His most cited work, a 2023 paper on scalable cluster-based anomaly detection for WSNs, has garnered 27 citations, reflecting its relevance in addressing critical security and energy constraints in distributed systems. Although this paper was later retracted, it underscores the pressing need for robust, low-power defense mechanisms in resource-limited networks—a theme that defines his broader contributions. Mohanbabu’s research explores how clustering can optimize both detection accuracy and energy consumption, offering practical frameworks for securing IoT and sensor deployments. His work has been cited by peers working on intrusion detection and network resilience, highlighting its influence despite the retraction. For students and researchers, Mohanbabu’s career serves as a reminder of the high stakes in cybersecurity research: even controversial findings can spark valuable dialogue on balancing performance, security, and sustainability in emerging technologies.
Research Focus
Key Achievements
Top Papers
- 1