Secure authentication from ambient audio
Details
| Supervisor: | Stephan Sigg |
| Duration: | 3-6 months |
| Type: | Master Thesis or Student Project |
| Status: | open |
Project Description
In a preliminary study, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.
Indoor positioning still remains a challenging task since GPS does not work indoors and reliable.
Furthermore, ubiquitously deployed alternatives are not available.
Recenty, localisation techniques based on radio frequency measurements have been proposed.
In this project, the student(s) will design and implement an indoor localisation system based on RF-signal strength fluctuation. We will provide USRP software defined radio devices and further required hardware equipment to design an accurate RF-based indoor localisation system. In the frame of the 2014 IPSN Indoor Localisation Competition [1] the designed system can be tested under realistic conditions. A participation is highly appreciated and will be supported.
Required Skills
- Natural curiosity, high motivation and a good sense of creativity :)
- Programming skills in Python will be required but can also be acquired in the course of the project
- Basic understanding of physical layer effects of wireless communication will be helpful