Results 161 to 170 of about 20,533 (244)

Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU. [PDF]

PLoS One
Kauser Sk H, Anu V M.
europepmc   +1 more source

Machine learning models and dimensionality reduction for improving the Android malware detection. [PDF]

PeerJ Comput Sci
Morán P, Robles-Gómez A, Duque A, Tobarra L, Pastor-Vargas R.   +4 more
europepmc   +1 more source

BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices. [PDF]

PeerJ Comput Sci
Şafak E, Doğru İA, Barışçı N, Atacak İ.   +3 more
europepmc   +1 more source

Process control block information dataset: Towards android malware detection. [PDF]

Data Brief
Alawneh H, Alkofahi H.
europepmc   +1 more source

Android Malware Detection and Crypto-Mining Recognition Methodology with Machine Learning

, 2018
Sorin Soviany, Andrei Scheianu, George Suciu, Alexandru Vulpe, Octavian Fratu, Cristiana Istrate   +5 more
openalex   +2 more sources

Z2F: Heterogeneous graph-based Android malware detection. [PDF]

PLoS One
Ma Z, Luktarhan N.
europepmc   +1 more source

Deep Feature Extraction and Classification of Android Malware Images. [PDF]

Sensors (Basel), 2020
Singh J, Thakur D, Ali F, Gera T, Kwak KS.   +4 more
europepmc   +1 more source

Glassbox: Dynamic Analysis Platform for Malware Android Applications on Real Devices

, 2017
Paul Irolla, Éric Filiol
openalex   +1 more source

A Comprehensive Review of Feature Selection Strategies for Machine Learning Based Android Malware Detection [PDF]

Sonal Pandey
openalex   +1 more source

Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM. [PDF]

Sensors (Basel)
Zhou S, Li H, Fu X, Han D, He X.
europepmc   +1 more source