Abstract

All sorts of information today is getting digitized and internet among others is the easiest and a very effective source and host for sharing data. So, it becomes very important to track, protect and monitor the data and maintain its security, confidentiality, data integrity, authentication, robustness and ownership. And, techniques like steganography, watermarking and cryptography help us to do so. In steganography, information is hidden inside the data (like image, audio, video, text) and the confidentiality is maintained as only the sender and the receiver know how to retrace the information. In this paper, a secure way of Audio- Watermarking is implemented using Discrete Wavelet Transform (Haar Wavelet) and Discrete Cosine Transform.

References

• Ifra Bilal, Mahendra Singh Roj, Rajiv Kumar and P K Mishra (2014) “Recent Advancement in Audio Steganography”, 2014 International Conference on Parallel, Distributed and Grid Computing (978-1-4799-7683-6/14/$31.00©2014 IEEE, 402)
• G. Zeng and Z. Qiu, (2008) “Audio watermarking in DCT; Embedding Strategy and Algorithm”, in Proceedings of 9th International Conference on Signal Processing, (ISP’09), pp 2193-2196.
• Ali Al-Haj, Ahmad Mohamma1 and Lama Bata (2011) “DWT–Based Audio Watermarking”, The International Arab Journal of Information Technology, Vol. 8, No. 3, July 2011
• X. Y. Wang and H. Zaho, (2006) “A novel Synchronization Invariant Audio Watermarking Scheme Based on DWT and DCT ”, IEEE Transactions on Signal Processing, Vol. 54, No. 12, pp 4835-4840.
• E. Ercelebi. And L.Batakci., (2009) “Audio Watermarking Scheme Based on Embedding Strategy in Low Frequency Components with a Binary Image.”, Digital Signal Processing, Vol. 19, No. 2, pp 265-277.
• Yan Yang, Rong Huang and Mintau Xu (2009) “A Novel Audio Watermarking Algorithm for Copyright Protection Based on DCT Domain.” 2nd International Symposium on Electronic Commerce and Security ,pp 184-188.
• P.K Dhar, M.I.Khan and S. Ahmad (2010) “A New DCT-Based Watermarking Method for Copyright Protection of Digital Audio.”, International Journal of Computer Science & Information Technology(IJCSIT), Vol. 2 No.5.
• P.K Dhar, M.I.Khan and J.M.Kim (2010) “A New Audio Watermarking System using Discrete Fourier Transform for Copyright Protection.”, International Journal of Computer Science & Network Security (IJCSNS), Vol. 10 No.6.
• P.K Dhar and J.M.Kim (2011) “Digital Watermarking Scheme Based on First Fourier Transformation for Audio Copyright Protection.”, International Journal of Security and its Applications (IJSIA), Vol. 5 No.2.
• T.K. Tewari , V.Saxena and J.P Gupta (2012) “A Novel Approach to Generate Watermarks Using Auditory Features for Audio Watermarking.”, Journal of Theoretical and Applied Information Technology (JATIT), Vol. 35 No.2.
• Dr. M. Sathik and S. S. Sujatha (2010) “An Improved Invisible Watermarking Technique for Image Authentication.”, International Journal of Advanced Science and Technology (IJAST), Vol. 24.
• M. Sifuzzaman, “Application of Wavelet Transform and its Advantages Compared to Fourier Transform”,Journal of Physical Sciences, Vol. 13, 2009, 121-134.
• Lingling Wu et al., “Arnold Transformation Algorithm and Anti-Arnold Transformation Algorithm”,the 1st International Conference on Information Science and Engineering (ICISE2009).
• Ravula, R., Rai, S. (2010), “Audio watermarking using transformation techniques”, Electronic thesis and desertion, lauisian state university, etd-10182010-105045.
• Singh, J., Garg, P.and De, A.N. (2011), “Audio watermarking based on quantization index modulation using combined perceptualmasking”, © Springer Science + Business Media, LLC.
• Yang, S., Tan, W., Chen, Y. and Ma, W. (2010), “Quantization based digital audio watermarking in Discrete Fourier domain”, Journal of Multimedia, Vol. 5, No. 2.