Enhancing Android Malware Detection with XGBoost and Convolutional Neural Networks
Atif Raza Zaidi, Tahir Abbas, Ali Yusny Daud, Omar Alghushairy, Hussain Dawood, Nadeem Sarwar · Computers, materials & continua/Computers, materials & continua (Print) · 2025
Safeguarding against malware requires precise machine-learning algorithms to classify harmful apps. The Drebin dataset of 15,036 samples and 215 features yielded significant and reliable results for two hybrid models, CNN + X... | Find, read and cite all the research you need on Tech Science Press