FPGA Hardware Accelerator for Real Time Security, CAEML Core Project 4A1

This project aims to develop a malware detector for detecting the latest ransomware attacks in real time. It will employ a combination of artificial intelligence and machine learning techniques to create a system that can both detect real-time ransomware attacks and help protect against future threats. The system will be tested using real-world data from NC State University and assessed for accuracy, precision, and recall. This project will provide a valuable resource to NC State and its users in defending against ransomware attacks.


Principle Investigators

Paul D. Franzon
Aydin Aysu

More Details

Build malware detector for detecting ransomware attacks in real time.