
<WRAP centeralign>##Data Science Seminar##\\ Hosted by Department of Mathematical Sciences</WRAP>

~~META:title=April 4, 2017~~
  * Date: Tuesday, April 4, 2017
  * Time: 12:00-1:00
  * Room: WH-100E
  * Speaker:  Guanhua Yan (CS at Binghamton University)
  * Title: Fighting Malware with Big Data

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<WRAP centeralign>**//Abstract//**</WRAP>
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.
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