Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism. [PDF]
Sci Rep, 2023 Aurangzeb S, Aleem M.
europepmc +1 more source
Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning. [PDF]
Sensors (Basel), 2022 Krzysztoń M, Bok B, Lew M, Sikora A.
europepmc +1 more source
Android Malware of Static Analysis Technology Based on Data Mining
, 2017 Peng Chen +4 more
openalex +2 more sources
A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features [PDF]
, 2019 Rajesh Kumar +5 more
openalex +1 more source
Characterization of Android malware based on subgraph isomorphism [PDF]
, 2021 Alain Menelet, Charles‐Edmond Bichot
openalex +1 more source
AndroDex: Android Dex Images of Obfuscated Malware
Scientific DataWith the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years.
Sana Aurangzeb +4 more
doaj +1 more source
MFDroid: A Stacking Ensemble Learning Framework for Android Malware Detection. [PDF]
Sensors (Basel), 2022 Wang X, Zhang L, Zhao K, Ding X, Yu M.
europepmc +1 more source
Convolution neural network with batch normalization and inception-residual modules for Android malware classification. [PDF]
Sci Rep, 2022 Liu T, Zhang H, Long H, Shi J, Yao Y.
europepmc +1 more source
FG-Droid: Grouping based feature size reduction for Android malware detection. [PDF]
PeerJ Comput Sci, 2022 Arslan RS.
europepmc +1 more source
Security Hardened and Privacy Preserved Android Malware Detection Using Fuzzy Hash of Reverse Engineered Source Code [PDF]
, 2022 Hasnat Ali +8 more
openalex +1 more source