Android Malware Analysis

The datasets used in this study: CIC-AndMal2017, CIC-MalDroid2020, and Drebin, provide curated and structured information for Android malware analysis. All datasets are organized in CSV format and contain carefully selected static and dynamic features that support effective classification of benign applications and multiple malware samples. These features include behavioral indicators, permission-related attributes, and network or system-level characteristics, enabling comprehensive analysis for malware detection tasks. The datasets are preprocessed and formatted with clearly defined feature columns and corresponding class labels, making them suitable for machine learning and deep learning-based experimentation, benchmarking, and reproducible research in Android security. Additionally, the datasets are derived from publicly available Android malware repositories, where relevant features have been extracted and standardized into a unified format to ensure consistency and ease of analysis across all three datasets.