Antibypassing Four-Stage Dynamic Behavior Modeling for Time-Efficient Evasive Malware Detection

Y Zhang, S Luo, H Wu, L Pan - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
With the widespread adoption of virtualization technology, it is imperative to strengthen its
security, and dynamically modeling and instantly trapping malicious behaviors are …

[PDF][PDF] Outsmarting Android Malware with Cutting-Edge Feature Engineering and Machine Learning Techniques.

A Wajahat, J He, N Zhu, T Mahmood… - … , Materials & Continua, 2024 - researchgate.net
The growing usage of Android smartphones has led to a significant rise in incidents of
Android malware and privacy breaches. This escalating security concern necessitates the …