Use of Metaheuristic Algorithms in Malware Detection

Abstract

Metaheuristic algorithms are the general framework for optimization problems. They are not problem dependent and are heavily deployed in different domains. Due to rise in number of malware, malware detection techniques are updated very often. In the present work different metaheuritics algorithm used in malware detection and are available in the literature are discussed. Metaheuristics algorithm like harmony search, clonal selection, genetic algorithm and Negative selection algorithms are discussed.