MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata
Almomani, I., Almashat, T. & El-Shafai, W. Maloid-ds: labeled dataset for android malware forensics. Android malware detection with MH-100K: An innovative dataset for advanced research. On building machine learning pipelines for Android malware detection: A procedural survey of practices, challenges and opportunities. Kouliaridis, V., Potha, N. & Kambourakis, G. Improving android malware detection through dimensionality reduction techniques. Dataset bias in Android malware detection.
Source: Forbes December 31, 2025 11:51 UTC
