Malware Science

Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.

Malicious software (i.e. malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

Learn what really matters by an actual analyst: malware reversing, clean vs malware, report writing, unpacking

This book presents a collection of selected papers addressing malware detection, which is necessary to create reliable and resilient cyber and computer security mechanisms.