Datasets Comparison

The uploaded dataset (CIC-AndMal2017) contain curated information for Android malware analysis. The dataset is provided in CSV format and includes features selected for effective classification and detection of various malware families and benign applications. It is structured with clearly labeled columns for features and class labels, enabling straightforward use for research, analysis, and benchmarking in Android malware detection studies. This CSV dataset were generated from existing publicly available Android malware dataset. We extracted and organized the relevant features into CSV format to facilitate analysis and reproducibility.

The uploaded CIC-AndMal2017 dataset contains curated information for Android malware analysis and is provided in CSV format. It includes carefully selected features that support effective classification and detection of multiple Android malware families as well as benign applications. The dataset is structured with clearly labeled feature columns and class labels, enabling straightforward use in research, experimental analysis, and benchmarking for Android malware detection. This CSV dataset was derived from an existing publicly available Android malware dataset, where relevant features were extracted, organized, and consolidated to improve usability, reproducibility, and analytical consistency.

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Machine Learning, Internet of Things, Explainable Artificial Intelligence, Android Malware, Artificial Intelligence of Things

Creative Commons Attribution 4.0 International

The uploaded dataset (CIC-AndMal2017) contain curated information for Android malware analysis. The dataset is provided in CSV format and includes features selected for effective classification and detection of various malware families and benign applications. It is structured with clearly labeled columns for features and class labels, enabling straightforward use for research, analysis, and benchmarking in Android malware detection studies. This CSV dataset were generated from existing publicly available Android malware dataset. We extracted and organized the relevant features into CSV format to facilitate analysis and reproducibility.

The uploaded CIC-AndMal2017 dataset contains curated information for Android malware analysis and is provided in CSV format. It includes carefully selected features that support effective classification and detection of multiple Android malware families as well as benign applications. The dataset is structured with clearly labeled feature columns and class labels, enabling straightforward use in research, experimental analysis, and benchmarking for Android malware detection. This CSV dataset was derived from an existing publicly available Android malware dataset, where relevant features were extracted, organized, and consolidated to improve usability, reproducibility, and analytical consistency.

,

Machine Learning, Internet of Things, Explainable Artificial Intelligence, Android Malware, Artificial Intelligence of Things

Creative Commons Attribution 4.0 International