Aug 2026
HFE-DDL: hybrid feature extraction and dual deep learning for android code vulnerability detection
Experimental results demonstrate the superiority of HFE-DDL over the state-of-the-art method in vulnerability detection tasks and show that HFE-DDL has potential as a tool for proactively identifying vulnerabilities during development, aiming to produce more secure Android applications.
Ahmed Abdu, Hakim A. Abdo, Mohsen Ali Alawami et al.
· Cluster Computing · 0 citations