ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

arXiv:2608.03250 · cs.CR, cs.LG · Submitted 2026-08-04 · Read on arXiv

Md Faisal Ahmed, Zarin Tasnim Biash, Abu Raihan Shakil, Ahmed Ann Noor Ryen, Arman Hossain, Faisal Bin Ashraf, Muhammad Iqbal Hossain

cs.CR, cs.LG

Submitted: 2026-08-04

DOI: 10.1109/DASA54658.2022.9764984

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 25× in this paper · explained in 1 episode
• Hybrid Model — 10× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Hybrid Approach — 2× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Obfuscation — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 6 episodes

Sources

• SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices
• Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection

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