Ratchana Rajendran
Papers
1
Total Citations
15
H-Index
1
About
Ratchana Rajendran is a researcher at the forefront of Big Data analytics and machine learning, with a focused interest in the security dynamics of the Internet of Things (IoT). Her most influential work, "An Exploratory analysis of Machine Learning adaptability in Big Data Analytics Environments," introduces a novel framework for integrating Big Data processing with machine learning to enhance security monitoring in mobile IoT ecosystems. This paper, which has garnered 15 citations, reimagines the security monitoring system as a pivotal, proactive element rather than a reactive afterthought, offering a fresh perspective on data aggregation in the age of ubiquitous connectivity. Rajendran’s contributions lie in bridging the gap between scalable data analytics and real-time threat detection, proposing architectures that are both efficient and adaptive. Her research is particularly notable for its practical implications, addressing the pressing need for robust security in an increasingly interconnected world. By challenging conventional approaches, Rajendran has established herself as a thoughtful voice in the evolving discourse on intelligent, data-driven security solutions.
Research Focus
Key Achievements
Top Papers
- 1