Malware Data Science: Attack Detection and Attribution

Malware Data Science teaches how to detect, analyze, and classify malware using machine learning, statistics, and visualization to fight modern threats.

Malware is growing at an explosive rate, with tens of millions of new samples appearing each year. At the same time, modern networks generate enormous amounts of security-relevant data that defenders must process quickly. Traditional methods are no longer enough. In Malware Data Science, Joshua Saxe and Hillary Sanders introduce a data-driven approach t…