Results 151 to 160 of about 4,196 (220)

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

Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer. [PDF]

PLoS One, 2021
Elkabbash ET, Elkabbash ET, Mostafa RR, Barakat SI.   +3 more
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

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

GEAAD: generating evasive adversarial attacks against android malware defense. [PDF]

Sci Rep
Ahmad N, Saleem Rana A, Jalil Hadi H, Bashir Hussain F, Chakrabarti P, Alshara MA, Chakrabarti T.   +6 more
europepmc   +1 more source

Understanding the root of attack in android malware

, 2018
With the rapid pace of development and change in mobile device technology and Android versions, Android malware has emerged and become a focus in current research.
Jawatankuasa Kerja PSM UTHM
core  

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