Open AccessHigh Embedding Capacity and Robust Audio Watermarking for Secure Transmission Using Tamper Detection
Author(s) -
Kaur Arashdeep,
Dutta Malay Kishore
Publication year - 2018
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.2017-0092
Subject(s) - digital watermarking , watermark , robustness (evolution) , payload (computing) , computer science , embedding , wavelet , audio signal , signal processing , real time computing , embedded system , computer hardware , artificial intelligence , computer security , digital signal processing , network packet , biochemistry , chemistry , image (mathematics) , gene
Robustness, payload, and imperceptibility of audio watermarking algorithms are contradictory design issues with high‐level security of the watermark. In this study, the major issue in achieving high payload along with adequate robustness against challenging signal‐processing attacks is addressed. Moreover, a security code has been strategically used for secure transmission of data, providing tamper detection at the receiver end. The high watermark payload in this work has been achieved by using the complementary features of third‐level detailed coefficients of discrete wavelet transform where the human auditory system is not sensitive to alterations in the audio signal. To counter the watermark loss under challenging attacks at high payload, Daubechies wavelets that have an orthogonal property and provide smoother frequencies have been used, which can protect the data from loss under signal‐processing attacks. Experimental results indicate that the proposed algorithm has demonstrated adequate robustness against signal processing attacks at 4,884.1 bps. Among the evaluators, 87% have rated the proposed algorithm to be remarkable in terms of transparency.