Scalability, fidelity and stealth in the DRAKVUF dynamic malware analysis system
Tamas K. Lengyel, Steve Maresca, Bryan D. Payne, George D. Webster, Sebastian Vogl, Aggelos Kiayias · 2014
Malware is one of the biggest security threats on the Internet today and deploying effective defensive solutions requires the rapid analysis of a continuously increasing number of malware samples. With the proliferation of metamorphic malware the analysis is further complicated as the efficacy of signature-based static analysis systems is greatly reduced. While dynamic malware analysis is an effective alternative, the approach faces significant challenges as the ever increasing number of samples requiring analysis places a burden on hardware resources. At the same time modern malware can both detect the monitoring environment and hide in unmonitored corners of the system.