Results 131 to 140 of about 11,847 (201)

Android Malware Detection System Classification

Research Journal of Information Technology, 2014
Mohd Zaki Mas`ud, Shahrin Sahib, Mohd Faizal Abdollah, Siti Rahayu Selamat, Robiah Yusof   +4 more
openaire   +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

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]

Sci Rep
Anuradha A, Chouhan AS, Srinivas Rao S.
europepmc   +1 more source

DEFEAT: Android device behavior-based datasets for multi-stage APT. [PDF]

Data Brief
Jabar T, Al-Kadhimi AA, Singh MM.
europepmc   +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

FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]

Sci Rep
Patel A, Tomar DS, Pateriya RK, Haripriya R.   +3 more
europepmc   +1 more source

Malware detection in IoT networks with CNNs and integrated feature engineering. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source

A distributed framework for zero-day malware detection using federated ensemble models. [PDF]

PLoS One
Ishfaq H, Shah JH, Saleem R, Afzal M.
europepmc   +1 more source

Mobile malware detection method using improved GhostNetV2 with image enhancement technique. [PDF]

Sci Rep
Du Y, Gao C, Chen X, Cui M, Xu L, Ning A.   +5 more
europepmc   +1 more source