Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model

• Published in: IEEE access Vol. 10; pp. 42762 - 42777
• Main Authors: Al-Hashmi, Asma A., Ghaleb, Fuad A., Al-Marghilani, A., Yahya, Abdulsamad E., Ebad, Shouki A., M.S., Muhammad Saqib, Darem, Abdulbasit A.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Boosting; Cybersecurity; Decision making; deep ensemble learning; Deep learning; Feature extraction; Heuristic algorithms; Internet; Machine learning; Malware; Malware detection; malware variants; multifaceted behavioral features; Security; sequential deep learning; Static analysis

Every day, hundreds of thousands of new malware programs are developed and spread worldwide in cyberspace. Most of these malware programs are malware variants such as polymorphic and metamorphic malware, which are created from older versions of malware and able to change their structures and functio...