Malware Analysis using Machine Learning

Malware Analysis using Machine Learning

Vivek Murali, Kaustubh Jhanwar, Dr.M.B.Mukesh Krishnan

Department of Networking and Communication,

SRM Institute of Science and Technology

SRM Nagar, Kattankulathur

Chengalpattu District, Tamil Nadu-603 203

Abstract— The effectiveness of traditional antivirus software is declining against the increasingly advanced and complex malware attacks. Thus, identifying and analyzing malware requires new methods, including machine learning- a type of artificial intelligence. Implementing machine learning in malware analysis has multi tiered benefits, including accuracy, efficiency, adaptability, and automation. However, it also presents some difficulties like the need for vast and diverse datasets and explaining the results of machine learning. Prominent organizations such as Microsoft, the National Institute of Standards and Technology (NIST), and the MITRE Corporation have already occupied themselves with machine learning for malware analysis. The article concludes that this method is promising; to fully actualize its potential, further research is necessary to overcome its existing challenges.

Keywords— Malware,Security,Malware Classification,Machine Learning.