Results 141 to 150 of about 4,196 (220)

HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]

PLoS One
Minh Manh V, Do Xuan C, Van NTK.
europepmc   +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

Dynamic analysis of Android malware using DroidBox

, 2015
With advent of technology, Smartphones have become an integral parts of our lives. Android is one of the most popular open source operating system used in Smartphones.
Chaurasia, Priya
core  

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

Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection. [PDF]

Sci Rep
Tawfik M, Tarazi H, Dalalah A, Bajeszeyadaljunaeidia, Shaban WM, Fathi IS.   +5 more
europepmc   +1 more source

A Hybrid Analysis-Based Approach to Android Malware Family Classification. [PDF]

Entropy (Basel), 2021
Ding C, Luktarhan N, Lu B, Zhang W.
europepmc   +1 more source

ANDROID MALWARE

International Journal of Research in Engineering and Technology, 2014
openaire   +1 more source

MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]

Sci Data
Bragança H, Kreutz D, Rocha V, Assolin J, Feitosa E.   +4 more
europepmc   +1 more source

Beyond the virus: a first look at coronavirus-themed Android malware. [PDF]

Empir Softw Eng, 2021
Wang L, He R, Wang H, Xia P, Li Y, Wu L, Zhou Y, Luo X, Sui Y, Guo Y, Xu G.   +10 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