T. Kalai chelvi

Papers

1

Total Citations

4

H-Index

1

About

Dr. T. Kalai Chelvi is a prominent researcher in the intersection of artificial intelligence and cybersecurity, with a particular focus on network defense and optimization. Her most cited work, "Artificial intelligence based optimization for mapping IP addresses to prevent cyber-based attacks" (2022, 4 citations), introduces a novel AI-driven framework that dynamically maps IP addresses to thwart cyber threats, addressing the critical need for rational decision-making in rapidly evolving technological landscapes. This contribution underscores her expertise in leveraging machine learning for proactive security measures, enhancing the resilience of digital infrastructures. Dr. Kalai Chelvi’s research is characterized by its practical applications in real-time threat mitigation, bridging the gap between theoretical AI models and operational cybersecurity. Her work has garnered attention for its innovative approach to dynamic capacity management, influencing both academic discourse and industry practices. As a dedicated scholar, she continues to advance the field, inspiring students and researchers to explore the synergy between artificial intelligence and cyber defense. Her achievements highlight a commitment to safeguarding digital ecosystems through intelligent, adaptive solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence based optimization for mapping IP addresses to prevent cyber-based attacks
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago