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|Activity recognition on mobile phones usually requires that the device is carried while activities are conducted (e.g. accelerometer-based). However, it was demonstrated recently that this recognition is feasible also from WiFi RSSI when activities are conducted in proximity of the phone (device-free recognition). | |Activity recognition on mobile phones usually requires that the device is carried while activities are conducted (e.g. accelerometer-based). However, it was demonstrated recently that this recognition is feasible also from WiFi RSSI when activities are conducted in proximity of the phone (device-free recognition). | ||
In this project, students will develop an application to utilise 2G/3G signals for activity recognition. This work is based on the OsmocomBB project. Development phones will be provided. | In this project, students will develop an application to utilise 2G/3G signals for activity recognition. This work is based on the OsmocomBB project. Development phones will be provided. | ||
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| Environment adaptive adjustment of audio-based security on mobile phones | |||
| [http://www.stephansigg.de Stephan Sigg] | |||
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6112755] | |||
| We have demonstrated a secure pairing mechanism based on fingerprints from ambient audio. | |||
In case studies, it was observed, that the parameters of the approach need to be adapted in order to provide a good tradeoff between security and usability in environments with varying characteristics such as background noise figure. | |||
In this project, the students will derive a mechanism to automatically adapt the parameters of the audio-based ad-hoc secure pairing mechanism. | |||
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