Android malware dataset for machine learning 2
- figshare.com
txtUpdated May 30, 2023
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EmailClick to copy linkLink copiedCiteSuleiman Yerima (2023). Android malware dataset for machine learning 2 [Dataset]. http://doi.org/10.6084/m9.figshare.5854653.v1txtAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.5854653.v1Dataset updatedMay 30, 2023Dataset provided byfigshareAuthorsSuleiman YerimaLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionDataset consisting of feature vectors of 215 attributes extracted from 15,036 applications (5,560 malware apps from Drebin project and 9,476 benign apps). The dataset has been used to develop and evaluate multilevel classifier fusion approach for Android malware detection, published in the IEEE Transactions on Cybernetics paper 'DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection'. The supporting file contains further description of the feature vectors/attributes obtained via static code analysis of the Android apps.
Android malware dataset for machine learning 1
- figshare.com
txtUpdated May 30, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSuleiman Yerima (2023). Android malware dataset for machine learning 1 [Dataset]. http://doi.org/10.6084/m9.figshare.5854590.v1txtAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.5854590.v1Dataset updatedMay 30, 2023AuthorsSuleiman YerimaLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionDataset consisting of feature vectors of 215 attributes extracted from 3799 applications (1260 malware apps from Android malgenome project and 2539 benign apps). The dataset has been used to develop and evaluate multilevel classifier fusion approach for Android malware detection, published in the IEEE Transactions in Cybernetics paper 'DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection'. The supporting file contains further description of the feature vectors/attributes obtained via static code analysis of the Android apps.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dataset consisting of feature vectors of 215 attributes extracted from 15,036 applications (5,560 malware apps from Drebin project and 9,476 benign apps). The dataset has been used to develop and evaluate multilevel classifier fusion approach for Android malware detection, published in the IEEE Transactions on Cybernetics paper 'DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection'. The supporting file contains further description of the feature vectors/attributes obtained via static code analysis of the Android apps.