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Secure Authentication for Mobile Devices Based on Acoustic Background Fingerprint

  • Quan QuachEmail author
  • Ngu Nguyen
  • Tien Dinh
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 244)

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.

Keywords

Mobile Device Medium Access Control Receive Signal Strength Indicator Advanced Encryption Standard Medium Access Control Address 
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

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Advanced Program in Computer Science, Faculty of Information TechnologyVNU - University of ScienceHo Chi Minh CityVietnam

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