Abstract: The present disclosure relates generally to the field of computer security and, in particular, to systems for detecting unknown malware. A method comprises generating genes for known malicious and clean objects; analyzing object genes using different malware analysis methods; computing a level of successful detection of malicious objects by one or a combination of malware analysis methods based on analysis of genes of the known malicious objects; computing a level of false positive detections of malicious objects by one or a combination of malware analysis methods based on analysis of genes of known clean objects; measuring effectiveness of each one or the combination of malware analysis methods as a function of the level of successful detections and the level of false positive detections; and selecting one or a combination of the most effective malware analysis methods for analyzing unknown object for malware.

Abstract: The present disclosure relates generally to the field of computer security and, in particular, to systems for detecting unknown malware. A method comprises generating genes for known malicious and dean objects; analyzing object genes using different malware analysis methods; computing a level of successful detection of malicious objects by one or a combination of malware analysis methods based on analysis of genes of the known malicious objects; computing a level of false positive detections of malicious objects by one or a combination of malware analysis methods based on analysis of genes of known clean objects; measuring effectiveness of each one or the combination of malware analysis methods as a function of the level of successful detections and the level of fake positive detections; and selecting one or a combination of the most effective malware analysis methods for analyzing unknown object for malware.