4 papers
Botnet Detection on CTU-13 Using Lightweight Machine Learning Models
Subhash Gurappa, Yashas Hariprasad, Sundararaj Sitharama Iyengar +1
Botnets are among the most persistent cyber threats, enabling large-scale attacks such as spam, credential theft, and distributed denial-of-service (DDoS). While deep learning appr…
MedSR-Vision: Deep Learning Framework for Multi-Domain Medical Image Super-Resolution
Subhash Gurappa, Trivikram Satharasi, Yashas Hariprasad +1
Medical image super-resolution (MedSR) is essential for improving diagnostic precision across diverse imaging modalities such as MRI, CT, X-ray, Ultrasound, and Fundus imaging. Des…
Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence
Yashas Hariprasad, Subhash Gurappa, Sundararaj S. Iyengar +3
The Forensics Investigations Network in Digital Sciences (FINDS) Research Center of Excellence (CoE), funded by the U.S. Army Research Laboratory, advances Digital Forensic Enginee…
pokiSEC: A Multi-Architecture, Containerized Ephemeral Malware Detonation Sandbox
Alejandro Avina, Yashas Hariprasad, Naveen Kumar Chaudhary
Dynamic malware analysis requires executing untrusted binaries inside strongly isolated, rapidly resettable environments. In practice, many detonation workflows remain tied to heav…