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Mist--MISexposure idenTification for Android

This artifact is for the paper: "Characterizing and identifying misexposed activities in Android applications".

Mist is designed for identifying the misexposed activities in Android apps.

Publication

The paper PDF can be found at https://hanada31.github.io/pdf/ase18_misexpose.pdf

@inproceedings{Mist2018,
  author    = {Jiwei Yan and
               Xi Deng and
               Ping Wang and
               Tianyong Wu and
               Jun Yan and
               Jian Zhang},
  editor    = {Marianne Huchard and
               Christian K{\"{a}}stner and
               Gordon Fraser},
  title     = {Characterizing and identifying misexposed activities in Android applications},
  booktitle = {Proceedings of the 33rd {ACM/IEEE} International Conference on Automated
               Software Engineering, {ASE} 2018, Montpellier, France, September 3-7,
               2018},
  pages     = {691--701},
  publisher = {{ACM}},
  year      = {2018},
  url       = {https://doi.org/10.1145/3238147.3238164},
}

Mist =

Steps:

1. install swi-prolog.

sudo apt-get install swi-prolog

2. install python.

sudo apt-get install python2.7

3. setting.

Put the apk under test into folder apk\example. If you put apks in other location, modify the variables apk_dir and folder in run.sh

4. run.

sh run.sh

5. obtain result.

The result files can be found in the folder result