Results 151 to 160 of about 20,533 (244)

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

Hybrid Android Malware Detection and Classification Using Deep Neural Networks [PDF]

Muhammad Umar Rashid, Shahnawaz Qureshi, Arslan Abid, Saad Said Alqahtany, Ali Alqazzaz, Mahmood ul Hassan, Mana Saleh Al Reshan, Asadullah Shaikh   +7 more
openalex   +1 more source

JDroid: Android malware detection using hybrid opcode feature vector. [PDF]

PeerJ Comput Sci
Arslan RS.
europepmc   +1 more source

A Vast Review of Recognizing the Presence of Android Malware Based on Ensemble Machine Learning Technique

Saqib Malik, Narendra Sharma
openalex   +1 more source

Dataset for the paper Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification

, 2021
Francisco Handrick, Rodrigo Bonifácio
openalex   +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

Hybrid analysis for Android malware family classification in a time-aware setting

, 2019
Joakim Fauskrud
openalex   +1 more source

Android Malware Detection Using Transformer and Encoder Models

Md. Shakib
openalex   +1 more source