Results 121 to 130 of about 11,847 (201)

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

DL-AMDet: Deep learning-based malware detector for android

Intelligent Systems with Applications
The Android operating system, with its market share leadership and open-source nature in smartphones, has become the primary target of malware. However, detecting malicious Android processes has become a significant challenge because of the complexity of
Ahmed R. Nasser, Ahmed M. Hasan, Amjad J. Humaidi   +2 more
doaj   +1 more source

Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection

Cyber Security and Applications
The rise in mobile malware risks brought on by the explosion of Android smartphones required more efficient detection techniques. Inspired by a cascade of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, optimized using the ...
Brij B. Gupta, Akshat Gaurav, Varsha Arya, Shavi Bansal, Razaz Waheeb Attar, Ahmed Alhomoud, Konstantinos Psannis   +6 more
doaj   +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

GSIDroid: A Suspicious Subgraph-Driven and Interpretable Android Malware Detection System. [PDF]

Sensors (Basel)
Huang H, Huang W, Jiang F.
europepmc   +1 more source

ANDROID MALWARE DETECTION USING HAML

International Journal of Advanced Research in Computer Science, 2017
openaire   +2 more sources