S. R. Ashokkumar
Papers
2
Total Citations
36
H-Index
2
About
S. R. Ashokkumar’s research centers on wireless sensor network security, deep learning applications, and IoT-enabled systems for automation and monitoring. Their most notable contribution involves developing scalable, energy-efficient cluster-based anomaly detection methods to counter Denial of Service attacks in wireless sensor networks—a critical advancement for securing resource-constrained distributed systems. This work, published in 2023, has accumulated 27 citations. Additionally, Ashokkumar explored deep convolutional neural networks for species detection and recognition in agricultural robotics, aiming to enhance precision farming through automated visual identification. That study, from 2022, has received 9 citations. While these papers have since been retracted, they reflect the researcher’s engagement with pressing challenges in network security and intelligent automation. Ashokkumar’s work sits at the intersection of cybersecurity, machine learning, and IoT, with a focus on practical, energy-aware solutions for real-world deployment. Their investigations into anomaly detection and species recognition highlight a commitment to leveraging AI for both protective and productive ends in networked environments.
Research Focus
Key Achievements
Top Papers
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