Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.]

• Main Authors: Mohd Fuzi, Mohd Faris, Mohd Shahirudin, Syamir, Abd Halim, Iman Hazwam, Jamaluddin, Muhammad Nabil Fikri
• Format: Article
• Language: English
• Published: UiTM Cawangan Perlis 2023
• Subjects: Intrusion detection systems (Computer security). Computer network security. Hackers
• Online Access: https://ir.uitm.edu.my/id/eprint/86867/1/86867.pdf; https://ir.uitm.edu.my/id/eprint/86867/; https://crinn.conferencehunter.com/index.php/jcrinn

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�...