Abstract
In this paper, we propose a method to establish a secured authentication among the mobile devices based on the background audio. The devices will record synchronous ambient audio signals. Fingerprints from background is used to generated the shared cryptographic key between devices without sending the information from ambient audio itself. Noise in fingerprints will be detected and fixed by using Reed-Solomon error correcting code. In order to examine this approach, fuzzy commitment scheme is introduced to enable the adaption of the specific value of tolerated noise in fingerprint by altering internal parameters of error correction. Besides, we introduce the method of background classification to alter the threshold of error correction automatically. Furthermore, the silent background issue is also solved thoroughly by several approaches. The system is build and tested on iOS and indoor environment.
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Quach, Q., Nguyen, N., Dinh, T. (2014). Secure Authentication for Mobile Devices Based on Acoustic Background Fingerprint. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_32
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DOI: https://doi.org/10.1007/978-3-319-02741-8_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02740-1
Online ISBN: 978-3-319-02741-8
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