Malware Analysis using Ensemble Techniques: A Machine Learning Approach

Abstract

The impact of malicious software is getting worse every day. Malicious software are programs that are created to harm, interrupt or damage computers, networks and other resources associated with it. This software is transferred in computers without the knowledge of owner. Malwares have always been a threat to digital world but with a rapid increase in the use of internet, and with introduction of concepts like SaaS and PaaS that are encouraging business giants to setup up their empire virtually, the impacts of the malwares have become severe and cannot be ignored anymore. Though lot of malware detectors have been created by security researchers; the accuracy and efficiency of these detectors depends upon the techniques being used. Malware creators are not idle either, they create new techniques and challenges in regular interval of time that makes existing techniques outdated. In this paper, insights of malware analysis in static manner are provided and at later stage, machine learning approach is implemented to obtain nearly accurate results.