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Friday, October 27 • 1:00pm - 2:00pm
Malware Clustering

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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.


Speakers
avatar for Srivathsan Srinivasagopalan

Srivathsan Srinivasagopalan

R&D engineer, AlienVault
Srivathsan Srinivasagopalan is an R&D engineer at AlienVault Inc in Austin, TX. He has a Ph.D. in theoretical Computer Science and has been developing algorithms for breach detection, correlation and more using machine learning and AI techniques for about six years. Previously, h... Read More →



Friday October 27, 2017 1:00pm - 2:00pm
Pecan

Attendees (5)