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. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
CITATION STYLE
Sigg, S., Schuermann, D., & Ji, Y. (2012). PINtext: A framework for secure communication based on context. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (Vol. 104 LNICST, pp. 314–325). https://doi.org/10.1007/978-3-642-30973-1_31
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