S Anupallavi

Papers

Total Citations

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About

S. Anupallavi is a leading researcher in wireless sensor network (WSN) security and energy-efficient anomaly detection. Her work addresses the critical challenge of protecting open, resource-constrained WSNs from malicious attacks while preserving battery life. Her most-cited paper, "Scalable and Energy Efficient Cluster Based Anomaly Detection against DoS Attacks in WSN" (2022), introduces a novel clustering framework that intelligently distributes detection tasks across sensor nodes. This approach dramatically reduces energy consumption compared to centralized methods, enabling scalable, long-term network operation even under denial-of-service threats. By integrating lightweight anomaly detection directly into the cluster head selection process, Anupallavi’s solution balances security with the stringent power budgets of real-world deployments—from battlefield surveillance to health monitoring. Her work has garnered citations for its practical, deployable design, offering a blueprint for future IoT security systems. Anupallavi continues to push the boundaries of resilient, low-power network defense, making her a key voice in sustainable cybersecurity for next-generation wireless systems.