Results 51 to 60 of about 590 (134)

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

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

BERT ensemble based MBR framework for android malware detection. [PDF]

Sci Rep
Alsubaei FS, Almazroi AA, Atwa WS, Almazroi AA, Ayub N, Jhanjhi NZ.   +5 more
europepmc   +1 more source

Adversarial Samples on Android Malware Detection Systems for IoT Systems. [PDF]

Sensors (Basel), 2019
Liu X, Du X, Zhang X, Zhu Q, Wang H, Guizani M.   +5 more
europepmc   +1 more source

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

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

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

Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles. [PDF]

Sci Rep
Almakayeel N.
europepmc   +1 more source

PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image. [PDF]

PeerJ Comput Sci
Kılıç K, Doğru İA, Toklu S.
europepmc   +1 more source

PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. [PDF]

Sci Rep
Mahindru A, Arora H, Kumar A, Gupta SK, Mahajan S, Kadry S, Kim J.   +6 more
europepmc   +1 more source

ANDROID MALWARE DETECTION USING HAML

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