475 citations · 555 across the 41 of their papers we have counts for
3 papers · 2 filters
Multifamily Malware Models
Samanvitha Basole, Fabio Di Troia, Mark Stamp
When training a machine learning model, there is likely to be a tradeoff between accuracy and the diversity of the dataset. Previous research has shown that if we train a model to…
Generative Adversarial Networks and Image-Based Malware Classification
Huy Nguyen, Fabio Di Troia, Genya Ishigaki +1
For efficient malware removal, determination of malware threat levels, and damage estimation, malware family classification plays a critical role. In this paper, we extract feature…
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection
Anusha Damodaran, Fabio Di Troia, Visaggio Aaron Corrado +2
In this research, we compare malware detection techniques based on static, dynamic, and hybrid analysis. Specifically, we train Hidden Markov Models (HMMs ) on both static and dyna…