Smart Phone

The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value

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  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This dataset is a result of my research production into machine learning in android security. The data was obtained by a process that consisted to map a binary vector of permissions used for each application analyzed {1=used, 0=no used}. Moreover, the samples of malware/benign were devided by "Type"; 1 malware and 0 non-malware.

    When I did my research, the datasets of malware and benign Android applications were not available, then I give to the community a part of my research results for the future works.

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  • Security
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34