An Android App for preserving user privacy
HideDroid is an Android app that allows the per-app anonymization of collected personal data according to a privacy level chosen by the user.
In a nutshell,HideDroid collects all the network traffic generated by the invocation of API calls belonging to analytics libraries, and extract the exported data.
Then, it anonymizes the personal and device data using a generalization technique, and the data related to the user’s behavior using an approach based on the concept of local differential privacy, in a way that preserves as much data semantics as possible.
Finally, the anonymized data are sent to the expected recipients by mimicking the original network calls.
More details about HideDroid can be found in the paper You can’t always get what you want: towards user-controlled privacy on Android.
We submit it for consideration to IEEE TDSC journal.
❱ App Screenshots
Questions, bug reports and pull requests are welcome on GitHub at https://github.com/Mobile-IoT-Security-Lab/HideDroid.
This tool is available under a dual license: a commercial one required for closed source projects or commercial projects, and an AGPL license for open-source projects.
Depending on your needs, you must choose one of them and follow its policies. A detail of the policies and agreements for each license type is available in the LICENSE.COMMERCIAL and LICENSE files.
This software was developed for research purposes at the Computer Security Lab (CSecLab), hosted at DIBRIS, University of Genoa.
- Davide Caputo - Ph.D Student & Developer
- Francesco Pagano - Post-Graduate Research Fellow & Developer
- Giovanni Bottino - Developer
- Gabriel Claudiu Georgiu - Developer
- Luca Verderame - Postdoctoral Researcher
- Alessio Merlo - Faculty Member