Practical pattern classiication and knowledge discovery problems require selection of a subset of attributes or features (from a much larger set) to represent the patterns to be classiied. This paper presents an approach to the multi-criteria optimization problem of feature subset selection using a genetic algorithm. Our experiments demonstrate the feasibility of this approach for feature subse...

Malware detection has been a hot spot in cyberspace security and academic research. We investigate the correlation between opcode features of malicious samples perform feature extraction, selection fusion by filtering redundant features, thus alleviating dimensional disaster problem achieving efficient identification malware families for proper classification. authors use obfuscation technology...