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Mobile App X-Ray Specs

Supervisors

Suitable for

Computer Science, Part B
Mathematics and Computer Science, Part C
Computer Science and Philosophy, Part C
Computer Science, Part C

Abstract

Smartphone applications often collect personal data and share it with various first and third party entities, for purposes like advertising and analytics. Using dynamic traffic analysis techniques, we have mapped many of the third-party data flows, including particular data types, from popular applications. The aim of this project would be to extend this work by deploying a mobile application that automatically reveals to the user what kinds of data are sent to whom via the apps they installed on their device. Alternatively, the project could look into extending our existing traffic analysis framework in order to scale up the analysis and improve the accuracy and coverage of the tracker detection.