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Abstract

We propose a framework for secure device-pairing based on contextual information. In contrast to related work, we utilise fuzzy cryptography schemes to establish a common secret among devices and to account for noise in the contextual features. The framework is implemented for ambient audio and its feasibility is demonstrated in a case study. Additionally, we discuss properties of fingerprints from ambient audio and estimate the entropy of fingerprints in statistical tests.

Keywords

Mobile Phone Mobile Device Near Field Communication Biometric Data Message Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Stephan Sigg
    • 1
  • Dominik Schuermann
    • 2
  • Yusheng Ji
    • 1
  1. 1.National Institute of InformaticsTokyoJapan
  2. 2.TU BraunschweigBraunschweigGermany

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