Results 41 to 50 of about 590 (134)

Android malware detection method based on highly distinguishable static features and DenseNet. [PDF]

PLoS One, 2022
Yang J, Zhang Z, Zhang H, Fan J.
europepmc   +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

Hybrid Android Malware Detection: A Review of Heuristic-Based Approach

IEEE Access
Over the last decade, numerous research efforts have been dedicated to countering malicious mobile applications. Given its market share, Android OS has been the primary target for most of these apps. Researchers have devised numerous solutions to protect Android devices and their users, categorizing them into static and dynamic approaches.
Rajif Agung Yunmar, Sri Suning Kusumawardani, null Widyawan, Fadi Mohsen   +3 more
openaire   +2 more sources

FG-Droid: Grouping based feature size reduction for Android malware detection. [PDF]

PeerJ Comput Sci, 2022
Arslan RS.
europepmc   +1 more source

Optimal Malware Detection for Android

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Abstract—The increasing prevalence of Android devices has led to a surge in malicious apps targeting the platform. We present an Automated Android Malware Detection system using an Optimal Ensemble Learning Approach to combat this. This system integrates machine learning algorithms like Random Forest, Gradient Boosting, and Convolutional Neural ...
Tilak Suresh, Deepika M S, Dr.Anandaraj SP, Dr.Poornima S   +3 more
openaire   +1 more source

Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers. [PDF]

PeerJ Comput Sci, 2022
Atacak İ, Kılıç K, Doğru İA.
europepmc   +1 more source

Reassessing feature-based Android malware detection in a contemporary context. [PDF]

PLoS One
Muzaffar A, Ragab Hassen H, Zantout H, Lones MA.   +3 more
europepmc   +1 more source

Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]

Sci Rep
Tanveer MU, Munir K, Alyamani HJ, Hassan SR, Sheraz M, Chuah TC.   +5 more
europepmc   +1 more source

MaSS-Droid: Android Malware Detection Framework Using Multi-Layer Feature Screening and Stacking Integration. [PDF]

Entropy (Basel)
Zhang Z, Han Q, Shi Z.
europepmc   +1 more source

JDroid: Android malware detection using hybrid opcode feature vector. [PDF]

PeerJ Comput Sci
Arslan RS.
europepmc   +1 more source