Structural features with nonnegative matrix factorization for metamorphic malware detection

• Main Authors: Yeong, Tyng Ling, Mohd Sani, Nor Fazlida, Abdullah, Mohd. Taufik, Abdul Hamid, Nor Asilah Wati
• Format: Article
• Language: English
• Published: Elsevier Advanced Technology 2021
• Online Access: http://psasir.upm.edu.my/id/eprint/95181/1/Structural%20features%20with%20nonnegative%20matrix%20factorization%20for%20metamorphic%20malware%20detection.pdf; http://psasir.upm.edu.my/id/eprint/95181/; https://www.sciencedirect.com/science/article/pii/S0167404821000407
• Institution: Universiti Putra Malaysia

Metamorphic malware is well known for evading signature-based detection by exploiting various code obfuscation techniques. Current metamorphic malware detection approaches require some prior knowledge during feature engineering stage to extract patterns and behaviors from malware. In this paper, we...