Machine Learning Approach for Malware Analysis and Detection
Deepak Singh Rana, Sushil Chandra Dimri, Ramesh Singh Rawat, Shiv Ashish Dhondiyal, Akash Dogra · 2022
According to research, Cybercrime has grown dramatically over the past ten years, costing several firms a significant amount of money. Various anti-virus businesses have put up methods to stop assaults from the malware. The Cybersecurity sector is facing new hurdles as a result of the pace, volume, and complexity of malware. According to the most recent cutting-edge research, machine learning and deep learning techniques are now being used by researchers and antivirus companies for malware analysis and detection. Static code analysis is used when challenged by diverse variants. New malware samples are designed by attackers have the ability to change as they propagate. Thus, machine learning provides a preferred technique to catch new unknown malware.