Results 141 to 150 of about 20,533 (244)

Would You Mind Hiding My Malware? Building Malicious Android Apps with Stegopack

Danilo Dell apos Orco, Giorgio Bernardinetti, Giuseppe Bianchi, Alessio Merlo, Alessandro Pellegrini   +4 more
openalex   +1 more source

The Concept Drift Problem in Android Malware Detection and Its Solution [PDF]

, 2017
Donghui Hu, Zhongjin Ma, Xiaotian Zhang, Peipei Li, Dengpan Ye, Baohong Ling   +5 more
openalex   +1 more source

Active Learning Model Used for Android Malware Detection

, 2023
Md Yeasin
openalex   +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

AUTOMATED ANDROID MALWARE DETECTION USING OPTIMAL ENSEMBLE LEARNING APPROACH FOR CYBER SECURITY

ijesat
openalex   +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

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