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Data Analysis Project (DAP) Presentation

Project Presentations
Ph.D. Student
Machine Learning Department
Prioritizing Malware Analysis
Thursday, February 27, 2014 - 3:00pm
McWilliams Classroom 4303 
Gates&Hillman Centers

Millions of malware samples are reported everyday, but cannot be carefully reviewed one by one due to limited availability of human analysts. A ranking list to recommend the most important samples for our human analysts is thus desirable. We will propose two criteria to evaluate the importance of each sample. And different ways to combine scores from the two criteria will be introduced to generate the final ranking list.

DAP Committee:
Jeff Schneider
Artur Dubrawski
Geoff Gordon

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