M. Indumathy
Papers
1
Total Citations
4
H-Index
1
About
Dr. M. Indumathy is a researcher at the forefront of cybersecurity and artificial intelligence, with a focused interest in leveraging AI-driven optimization to safeguard digital infrastructure. Her most-cited work, “Artificial intelligence based optimization for mapping IP addresses to prevent cyber-based attacks” (2022, 4 citations), introduces a novel approach that uses dynamic capacity modeling to enhance decision-making in threat detection. By integrating machine learning with IP mapping, Dr. Indumathy addresses the critical challenge of preemptively identifying and mitigating cyber threats in an era of rapid technological evolution. Her research underscores the pivotal role of rational, data-driven strategies in industrial development and network security. Though early in her citation impact, her work signals a promising contribution to the intersection of AI and cyber defense, offering scalable solutions for real-time attack prevention. Dr. Indumathy’s efforts are particularly relevant for students and researchers exploring adaptive security frameworks, as she bridges theoretical AI optimization with practical cybersecurity applications. Her ongoing work continues to shape how industries can harness artificial intelligence for resilient, proactive protection against emerging digital threats.
Research Focus
Key Achievements
Top Papers
- 1