TECHNIQUES FOR MALWARE DETECTION AND ANALYSIS: A MACHINE LEARNING APPROACH
OLIVEIRA DA ROCHA, RAFAEL
The rapid evolution of malware variants and the manual bottlenecks in reverse engineering demand automated, scalable, and resilient detection mechanisms. This dissertation investigates the application of machine learning and semantic feature extraction to mitigate human-in-the-loop dependency and address the degradatio...
- Università degli Studi di Torino
- Italy
- English