Comparative analysis of malicious Android-based software detection with trending metaheuristic algorithms
Today, Android malware threats and attacks are rapidly increasing due to their use and popularity.Therefore, the need for systems effectively detecting malware is also increasing day by day.This study proposes the use of various trending metaheuristic algorithms for optimal feature selection (FS) in the detection of Android malware.For this purpose