Abstract

Over the last few years anti-virus researchers have faced an increasing volume of malware samples arriving at their research labs on a daily basis. Víctor Álvarez presents a simple, rule-driven approach to malware identification and classification that complements the manual work of the malware researcher by compensating for the weaknesses of the human brain.