Secure authentication from ambient audio: Difference between revisions
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In this implementation, similar recordings of ambient audio from mobile devices in proximity are utilised for the generation of a secure key. | In this implementation, similar recordings of ambient audio from mobile devices in proximity are utilised for the generation of a secure key. | ||
An attacker that is farther away is not able to guess the same key with a recording of her own since the features in the ambient audio differ with location. | An attacker that is farther away is not able to guess the same key with a recording of her own since the features in the ambient audio differ with location. | ||
However, the robustness of the generated key is dependent on properties of ambient audio. | |||
In previous studies, we experienced best pairing characteristics when devices are in an environment with a single loud audio source. | |||
When environmental noise is, however, more ubiquitous and noisy, it is easier for an attacker to generate a key that is similar to that of the legitimate communication partners. | |||
In this project we will develop a mechanism to adapt the parameter of the underlying approach to generate secure to changing environmental parameters. | |||
[[File:AudioSynch.png]] | |||
== Required Skills == | == Required Skills == | ||
Revision as of 14:30, 31 July 2014
Details
| Supervisor: | Stephan Sigg |
| Duration: | 3-6 months |
| Type: | Master Thesis or Student Project |
| Status: | open |
Project Description
In preliminary studies, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party (1, 2, 3).
In this implementation, similar recordings of ambient audio from mobile devices in proximity are utilised for the generation of a secure key. An attacker that is farther away is not able to guess the same key with a recording of her own since the features in the ambient audio differ with location. However, the robustness of the generated key is dependent on properties of ambient audio. In previous studies, we experienced best pairing characteristics when devices are in an environment with a single loud audio source. When environmental noise is, however, more ubiquitous and noisy, it is easier for an attacker to generate a key that is similar to that of the legitimate communication partners.
In this project we will develop a mechanism to adapt the parameter of the underlying approach to generate secure to changing environmental parameters.
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