Adaptive and Blind Audio Watermarking Algorithm Based on Chaotic Encryption in Hybrid Domain

Qiuling Wu,Meng Wu

doi:10.3390/sym10070284

Abstract

An adaptive and blind audio watermarking algorithm is proposed based on chaotic encryption in discrete cosine transform (DCT) and discrete wavelet transform (DWT) hybrid domain. Since human ears are not sensitive to small changes in the high-frequency components of the audio media, the encrypted watermark can be embedded into the audio signal according to the special embedding rules. The embedding depth of each audio segment is controlled by the overall average amplitude to effectively improve the robustness and imperceptibility. The watermark is encrypted by a chaotic sequence to improve the security of watermark, so only users who hold the correct key can accurately extract the watermark without the original audio signal. Experimental results show that the proposed algorithm has larger capacity, higher imperceptibility, better security, and stronger robustness when combating against signal-processing attacks than the involved audio watermarking algorithms in recent years.

Highlights

With the rapid development of the Internet and multimedia technologies, it is convenient to transmit digital information all over the world quickly
This study examines Bit error rate (BER) and normalized correlation (NC) to evaluate the robustness of this algorithm
An adaptive and blind audio watermarking algorithm based on chaotic encryption in a hybrid domain is proposed to combat various conventional signal-processing attacks

Summary

Introduction

With the rapid development of the Internet and multimedia technologies, it is convenient to transmit digital information all over the world quickly. A digital watermarking algorithm is an effective method to protect media content in the fields of copyright protection, fingerprint identification, broadcast monitoring, medical security, data authentication and so on. A digital watermarking algorithm can be applied to different multimedia carriers such as audio, image [6,7,8], data and video [9]. Because the audio media contains less redundant information, it is difficult to develop an audio watermarking algorithm. The time domain watermarking algorithm is easy to implement, but less robust in combating various digital signal processing attacks [2,4], such as the algorithms in literature [10,11]. Pal [14] used audio signal as a carrier to transmit the data that needs to be Symmetry 2018, 10, 284; doi:10.3390/sym10070284 www.mdpi.com/journal/symmetry

Objectives

Results

Conclusion