Open access
Aug 2026
Intelligent malware detection on Android smartphones via a hybrid approach using gradient boosting and convolutional neural network
Evaluation using metrics such as accuracy, precision, F1 score, and false positive rate indicates that CNN-GBM outperforms existing deep learning models, and enhancements stem from the effective integration of CNN feature extraction with GBM’s boosting capabilities.
C. Chimeleze, Norziana Jamil, Z. M. Zain et al.
· Scientific Reports · 0 citations