Abstract
Advancement in Internet technology has compelled encryption, copyright protection and authentication of audios, videos, images, and documents. Watermarking techniques have been widely employed in copyright protection and authentications of digital media. Digital image watermarking techniques are extensively explored and found suitable for copyright protection of images, whereas audio watermarking techniques are less studied and need extensive research due to superior hearing ability of the human beings. In this paper, we present audio watermarking technique using discrete wavelet transform (DWT) and linear feedback shift registers (LFSR). Watermark signal is obtained using LFSR technique before embedding into audio signal. Dispersion of maximum power spectral density property of LFSR is explored that makes it suitable as scramblers. LFSR does not require secret key for scrambling and descrambling of watermark signal. Sequences were embedded into the DWT coefficients of the audio signal. Experimental simulations were performed to evaluate the performance of the audio watermarking technique. Audio watermarking finds applications in the area of ownership protection, tamper detection and authentication of music, military communication, voice-activated machines, and robots.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Shanshan Li, Tingting Liu, Kun Bao, Ruijuan Qiao (2014) The study on the validity and reliability of digital audio watermarking. Comput Secur 2:34–36
Kob S, Nishimura R, Suzuki Y (2005) Time-spread echo method for digital audio water-marking. IEEE Trans Multimedia 7(2):212–221
Radha N, Venkatesulu M (2012) A chaotic block cipher for real-time multimedia. J Comput Sci 8(6):994–1000
Rahman MdM, Saha TK, Bhuiyan MdAA (2012) Implementation of RSA algorithm for speech data encryption and decryption. Int J Comput Sci Netw Sec 12(3):74–82
Kumar Singh, B, Tsegaye A, Singh J (2017) Probabilistic data encryption using elliptic curve cryptography and arnold transformation. In: IEEE international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), pp 644–651
Elshazly AR et al (2016) Synchronized double watermark audio watermarking scheme based on a transform domain for stereo signals. In: IEEE fourth international ja-pan-egypt conference on electronics, communications and computers
Balamurugan R, Kamalakannan V, Rahul Ganth D, Tamilselvan S (2014) Enhancing security in text messages using matrix based mapping and elgamal method in El-liptic curve cryptography. In: IEEE international conference on contemporary computing and informatics, pp 103–106
Xiang Y, Natgunanathan I, Peng D, Zhou W, Yu S (2012) A dual-channel time-spread echo method for audio watermarking. IEEE Trans Inf Forensics Sec 7(2):383–392
Kang H, Yamaguchi K, Kurkoski B, Yamaguchi K, Kobayashi K (2008) Full-index-embedding patchwork algorithm for audio watermarking. IEICE Trans Inf Syst, E91–D(11):2731–2734
Menezes AJ, van Oorschot PC, Vanstone SA (2001) Handbook of applied cryptography, 5th edn, CRC Press
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Shelke, R., Nemade, M. (2019). Performance Evaluation of Audio Watermarking Algorithms Using DWT and LFSR. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_170
Download citation
DOI: https://doi.org/10.1007/978-3-030-00665-5_170
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00664-8
Online ISBN: 978-3-030-00665-5
eBook Packages: EngineeringEngineering (R0)