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CCCS-CIC-AndMal-2020
The CCCS-CIC-AndMal-2020 dataset comprises 400K android apps, to test and assess the suggested methodology. -
Android Malware Category and Family Detection and Identification using Machin...
Android malware is one of the most dangerous threats on the internet, and its prevalence has increased dramatically in recent years. Experts in cybersecurity face an open... -
R2-D2 Test Dataset
The dataset used for testing the R2-D2 system, containing approximately 20035 malicious samples and 20313 benign samples. -
Android Apps Dataset
The dataset used for training the R2-D2 system, containing approximately 2 million of benign and malicious Android apps. -
Drebin dataset
The Drebin dataset is a collection of Android applications, including both benign and malicious ones, used for training and testing machine learning models for Android malware... -
Android Malware Detection using Autoencoder
The dataset used in this paper for Android malware detection using Autoencoder
