Anonymous Proximity Beacons from Smartphones


This project investigates the usage of Bluetooth-enabled smartphones for human proximity detection. Smartphones can transmit identifiers which can be heard by other smartphones nearby. A naive solution where each smartphone continually transmits a fixed identifier would make it trivial for a third party to track users; this project explores a solution for Bluetooth Low Energy and Bluetooth 5 to make tracking difficult by using mutable pseudo-anonymous identifiers that can only be reserved by a de-anonymisation server. An example application is developed: the server can return location information to requesting users, emulating the functionality of static proximity beacon systems—except without the deployment costs.

Bachelor's Dissertation
Shyam Tailor
Machine Learning DPhil (PhD) Student

My research interests include machine learning and its applications to computer systems, as well as wearable technology.