Comparison of Supervised Machine Learning Algorithms for Malware Detection

Comparison of Supervised Machine Learning Algorithms for Malware Detection

Due to the prevalence of security issues and cyberattacks, cybersecurity is crucial in today's environment. Malware has also evolved significantly over the past few years. With the advancement of malware analysis, Machine Learning (ML) is increasingly being used to detect malware. This study�...

Full description

Bibliographic Details
Main Authors: Mohd Faris Mohd Fuzi, Syamir Mohd Shahirudin, Iman Hazwam Abd Halim, Muhammad Nabil Fikri Jamaluddin
Format: Article
Language:English
Published: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2023-09-01
Series:Journal of Computing Research and Innovation
Subjects:
malware
machine learning
detection accuracy
machine learning algorithm
malware detection model
Online Access:https://jcrinn.com/index.php/jcrinn/article/view/329

Internet

https://jcrinn.com/index.php/jcrinn/article/view/329

Similar Items