Nearly everyone relies on smart devices such as Android, iOS and Windows for daily activities. This dependence on such devices paves the way for the malware developers to achieve their ambitions. Next generation malwares are even more complicated than those of customary malwares. These days, researchers are coming forward with deep learning rooted malware detectors. This paper throws light on numerous platforms such as iOS, Android and Windows and their corresponding malware detector systems. Analysis of these detector systems proves that every platform needs a unique way to deal with the malwares targeted on that platform. The comparison will navigate the future researchers in an appropriate direction.