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A fingerprint-based audio authentication scheme using frequency domain statistical characteristic

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Abstract

Recently, a major problem faced by digital data providers and owners is protecting data from malicious falsification and distribution. As a solution to this problem, digital fingerprinting technique is now attracting attention as new method for integrity protection. According to frequency domain statistical characteristic, an efficient fingerprint-based audio authentication scheme is proposed in this paper. Initially, the host audio signal is equally divided into non-overlapping frames, moreover, each audio frame is then equally split into non-overlapping segments, and the DFT (discrete Fourier transform) domain relation of each audio segment is computed. Then DFT domain relations of each audio frame are adopted to generate the corresponding binary pattern using non-uniform quantization. Finally, the fingerprint is obtained by performing XOR operation between the binary pattern and binary pseudo-random sequence. Simulation results demonstrate the effectiveness of our scheme in terms of inaudibility, detection reliability, robustness against some non-malicious signal processing operations and vulnerability against malicious falsification.

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Acknowledgments

The authors appreciate the handling editor and anonymous reviewers for their valuable comments to improve this paper.

This work was supported by National Natural Science Foundation of China (NSFC) under grant No.61170226, and Shandong Province Outstanding Young Scientists Foundation under grant No.BS2011DX034.

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Authors and Affiliations

  1. School of Information Science & Technology, Southwest Jiaotong University, Chengdu, 610031, People’s Republic of China

    Ming-Quan Fan & Hong-Xia Wang

  2. Shandong Provincial Key Laboratory of Computer Networks, Jinan, 250014, People’s Republic of China

    Heng-Jian Li

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  1. Ming-Quan Fan
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  2. Hong-Xia Wang
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  3. Heng-Jian Li
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Correspondence to Ming-Quan Fan.

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Fan, MQ., Wang, HX. & Li, HJ. A fingerprint-based audio authentication scheme using frequency domain statistical characteristic. Multimed Tools Appl 70, 2255–2270 (2014). https://doi.org/10.1007/s11042-012-1203-0

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  • DOI: https://doi.org/10.1007/s11042-012-1203-0

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