Hybrid malware variant detection model with extreme gradient boosting and artificial neural network classifiers

• Main Authors: Alhashmi, Asma A., Darem, Abdulbasit A., Alanazi, Sultan M., Alashjaee, Abdullah M., Aldughayfiq, Bader, Ghaleb, Fuad A., Ebad, Shouki A., Alanazi, Majed A.
• Format: Article
• Language: English
• Published: Tech Science Press 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/106374/1/FuadAbdulgaleelAbdohGhaleb2023_HybridMalwareVariantDetectionModel.pdf; http://eprints.utm.my/106374/; http://dx.doi.org/10.32604/cmc.2023.041038
• Institution: Universiti Teknologi Malaysia

In an era marked by escalating cybersecurity threats, our study addresses the challenge of malware variant detection, a significant concern for a multitude of sectors including petroleum and mining organizations. This paper presents an innovative Application Programmable Interface (API)-based hybrid...