Malware Clustering presented at lascon 2017

by Srivathsan Srinivasagopalan,

Summary : Malware clustering is an unsupervised similarity search technique where similar malwares are clustered together. We provide a novel approach to cluster malware based on their static and dynamic behavior. Apart from clustering, several stages of preprocessing goes through classic machine learning approaches. Our experiments on sufficiently large datasets have shown that this approach is not only robust, but also scalable and repeatable.