Chaos and NDFT-based spread spectrum concealing of fingerprint-biometric data into audio signals
Chaos and NDFT-based spread spectrum concealing of fingerprint-biometric data into audio signals
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DOI：
10.1016/j.dsp.2009.05.004
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发表时间：
2010-01-01
影响因子：
2.9
通讯作者：
Zhang, Jiashu
中科院分区：
文献类型：
--
作者：
Khan, Muhammad Khurram;Xie, Ling;Zhang, Jiashu
本文提出了一种基于混沌和NDFT的扩频技术，将指纹-生物特征模板隐藏在音频信号中。指纹模板用混沌加密进行加密，用BCH码进行编码。通过混沌参数调制(CPM)进行调制，然后利用一种新的基于非均匀离散傅立叶变换(NDFT)的数据隐藏方法隐藏在随机选取的宿主语音信号采样点中。模板提取过程是完全盲的，不需要原始语音信号，因此提取依赖于密钥。实验和仿真结果表明，该方案对常见的信号处理攻击具有较强的鲁棒性，具有密钥安全、高效的性能，并利用人类听觉系统的掩蔽效应实现了感知透明性。(C)2009 Elsevier Inc.保留所有权利。
In this paper, we propose a chaos and NDFT-based spread spectrum technique to conceal fingerprint-biometrics templates into audio signals. Fingerprint templates are encrypted by chaotic encryption, encoded by the BCH codes. modulated by chaotic parameter modulation (CPM), and then hid into the chaotically selected random sampling points of the host speech signal by a novel non-uniform discrete Fourier transform (NDFT)-based data hiding method. The template extraction process is completely blind and does not require original speech signal, thus the extraction depends on the secret key. Experimental and simulation results show that the proposed scheme is robust against common signal processing attacks, secure by secret keys, efficient in performance, and accomplishes perceptual transparency by exploiting the masking effects of human auditory system (HAS). (C) 2009 Elsevier Inc. All rights reserved.