JOURNAL ARTICLE

Automated Static Malware Analysis Using Machine Learning

Abstract

Malware analysis has always been one of the crucial and tedious tasks in the field of cyber security to prevent any abnormality in cyberspace. In the world of the internet with an increase in the number of internet users every day, data is being transferred from place to place in the form of tiles or packets, and malware has also transformed into a lot of categories. Researchers have come up with various techniques to deal with malware and a lot of tools have been developed for the task. Through this paper, we wm go through a fundamental study of malware analysis and discuss developing an automated static malware analysis tool using machine learning. A tool to detect and analyse different types of malware using efficient machine learning algorithms.

Keywords:
Malware Computer science Cyberspace Malware analysis The Internet Static analysis Task (project management) Artificial intelligence Cryptovirology Machine learning Field (mathematics) Computer security World Wide Web Engineering

Metrics

4
Cited By
1.07
FWCI (Field Weighted Citation Impact)
15
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Digital and Cyber Forensics
Physical Sciences →  Computer Science →  Information Systems

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