ABSTRACT
Malware is computer infections which are malicious programs readily created by hackers or programmers to create extensive damage. Even though various antivirus programs are created to prevent the file from various usage, new malware versions and other computer infection programs are developed daily. Security researchers are working tirelessly to achieve Zero-day malware. Malware detections are done using antivirus software, automated malware systems and an online malware analysis system. Even though open-source analysis systems like cuckoo sandbox are available, security researchers face a tough time detecting and analyzing new malware variants. Deep Learning is an emerging subset of Artificial Intelligence, which deals with many complex problems and states the most accurate expected output. In this chapter, major classifications of malware families and Deep Learning algorithms will be discussed. In recent security trends, there have come a lot more differences between existing malware and new malware. This malware tends to cause a lot of damage to the system, resulting in a data leak. Though many studies detect and analyze malware, the current malware is getting complicated day by day. The Deep Learning methods analyze and rectify the malware and the affected data to overcome these hazards.
