K Palanivel
Papers
1
Total Citations
3
H-Index
1
About
K Palanivel is a researcher in digital forensics and cybersecurity, with a focus on developing intelligent triage models to address the growing challenges of cybercrime. Their most-cited work, "Digital Forensics Triage Classification Model using Hybrid Learning Approaches" (2022), introduces a novel framework that combines machine learning techniques to prioritize and classify digital evidence efficiently, tackling the overwhelming volume of data generated by interconnected devices. This contribution is critical for streamlining forensic investigations in an era of escalating cyber threats, earning 3 citations and highlighting its relevance to practitioners and scholars. Palanivel's research bridges the gap between traditional forensic methods and modern AI-driven solutions, offering scalable approaches to detect and analyze malicious activities. By integrating hybrid learning into triage processes, their work enhances the speed and accuracy of evidence processing, directly impacting law enforcement and cybersecurity operations. Palanivel's ongoing efforts continue to shape the field, making digital forensics more adaptive to the rapid evolution of cybercrime.
Research Focus
Key Achievements
Top Papers
- 1