Machine Learning for Analyzing Malware

Abstract
The Internet has become an indispensable part of people’s work and life, but it
also provides favorable communication conditions for malwares. Therefore,
malwares are endless and spread faster and become one of the main threats
of current network security. Based on the malware analysis process, from the
original feature extraction and feature selection to malware analysis, this paper
introduces the machine learning algorithms such as classification, clustering
and association analysis, and how to use these machine learning algorithms
to effectively analyze the malware and its variants.
Keywords: Malware analysis, Machine learning, Classification, Clustering,
Association analysis.