| Carl Friedrich Gauß Faculty | Department of Computer Science

Device-to-Device Pairing based on Human Gait

How can we provide secure pairing of devices worn on the same body that does not need any user interaction while still providing protection against active Man-in-the-Middle attacks? Instead of using passwords or numeric comparison, we thought about other secrets which could be obtained on both devices to protect the pairing process. Our idea is to record the user’s gait - the individual unique pattern how someone walks - and use it for authentication. [Read more]


This project is done in cooperation with the Ambient Intelligence work group at Aalto University.


Project members

Dr. Dominik Schürmannschuermann[[at]]ibr.cs.tu-bs.de
Arne Brüsch
Caglar Kayakaya[[at]]ibr.cs.tu-bs.de
Le Nguyen Ngu Nguyenle.ngu.nguyen[[at]]aalto.fi
Dr. Stephan Siggsigg[[at]]ibr.cs.tu-bs.de+49-531-3913249
Prof. Dr.-Ing. Lars Wolfwolf[[at]]ibr.cs.tu-bs.de+49-531-3913288138

Student Thesis

If you are interested in writing a thesis regarding this project, please feel free to contact Dr. Dominik Schürmann.

Implementation of BANDANA on AndroidProject ThesisDr. Dominik Schürmannfinished
On Quantization Schemes And Security Aspects For Biometrical Key GenerationMaster ThesisDr. Dominik Schürmannfinished

last changed 2018-03-26, 15:42 (dynamic content) by Dr. Dominik Schürmann