Problem of the Week
BUGCAT
Zassenhaus Conference
Hilton Memorial Lecture
BingAWM
Math Club
Data Science Seminar
Hosted by Department of Mathematical Sciences
Abstract
The voluminous malware variants in the cyberspace are responsible for a variety of online criminal activities. In this talk, I will present a big data approach to fighting malware. First, I will discuss how to develop a Neyman-Pearson classifier for classifying malware variants into their corresponding families with bounded false positive rates. Second, I will talk about how to label malware samples from AV (Anti-Virus) scanners' detection results among which there may exist conflicts.