Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions

• Main Authors: Gorment N.Z., Selamat A., Cheng L.K., Krejcar O.
• Other Authors: 57201987388
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: machine learning algorithms; Malware detection; state-of-the-art; Artificial intelligence; Cybersecurity; Intrusion detection; Learning algorithms; Learning systems; Malware; Network security; Taxonomies; Trees (mathematics); 'current; Classification-tree analysis; Cyber security; Machine learning algorithms; Machine-learning; Malwares; Performance; State of the art; Support vectors machine; Data mining
• Institution: Universiti Tenaga Nasional

Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies. As a result, malware detection has always been a major worry and a difficult issue, owing to shortcomings in pe...