Master of Science (MS)
Fabio Di Troia
clustering hmm malware detection
In this research, we apply clustering techniques to the malware detection problem. Our goal is to classify malware as part of a fully automated detection strategy. We compute clusters using the well-known �-means and EM clustering algorithms, with scores obtained from Hidden Markov Models (HMM). The previous work in this area consists of using HMM and �-means clustering technique to achieve the same. The current effort aims to extend it to use EM clustering technique for detection and also compare this technique with the �-means clustering.
Pai, Swathi, "A Comparison of Clustering Techniques for Malware Analysis" (2015). Master's Projects. 404.