Original paper

A Survey of Malware Detection Techniques based on Machine Learning

Volume: 10, Issue: 1
Published: Jan 1, 2019
Abstract
Diverse malware programs are set up daily focusing on attacking computer systems without the knowledge of their users. While some authors of these programs intend to steal secret information, others try quietly to prove their competence and aptitude. The traditional signature-based static technique is primarily used by anti-malware programs in order to counter these malicious codes. Although this technique excels at blocking known malware, it...
Paper Details
Title
A Survey of Malware Detection Techniques based on Machine Learning
Published Date
Jan 1, 2019
Volume
10
Issue
1
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