Challenges in Malware Detection and Effecting Areas: Survey

Malware detection is big area in domain of computer science and is never ending chase between malware scholars and security analyzer. Data mining is one of the favorite model for researchers to detect and classify malware in different areas like windows, android, and IoT. As the malware attacking technique and its ability to hide with obfuscation technique is changing rapidly, same is for detection method to detect malware with high accuracy and less time. On top of different method and techniques, the focus of detection process is shifting from binary and executable files to grayscale image and colored image analysis for detection. This paper focuses on different detection techniques, classification techniques, framework, dataset, and tools used by many researchers.