Malware Detection

Title

Automatic Malware Detection with Machine Learning

Speaker/Bio

Amit Sinha is graduate student in Computer Engineering at BU. Research interests include Machine Learning & Natural Language Processing.

Abstract

Despite the substantial increase in Malware complexity over the last 30 years, the required knowledge for deploying Malware has in turn dropped due to the availability of Malware creation tool-kits. These tool-kits make it easy to modify existing Malware and thus contribute to the trend of "automatic Malware generation". This presentation will discuss how to use machine learning techniques to efficiently categorize a set of program samples to respond to this trend and automatize Malware detection.

References:

• Hu, Xin, Kang G. Shin, Sandeep Bhatkar, and Kent Griffin. "MutantX-S: Scalable Malware Clustering Based on Static Features." In USENIX Annual Technical Conference, pp. 187-198. 2013: pdf