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A New Wavelet based Digital Watermarking Method for Authenticated Mobile Signals
B. Eswara Reddy, P. Harini, S. Maruthu Perumal, V. VijayaKumar
Pages - 13 - 24     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
Mobile Network, Wavelet Transform, Even-Odd Method, Statistical Measures
The mobile network security is becoming more important as the number of data being exchanged on the internet increases. The growing possibilities of modern mobile computing environment are potentially more vulnerable to attacks. As a result, confidentiality and data integrity becomes one of the most important problems facing Mobile IP (MIP). To address these issues, the present paper proposes a new Wavelet based watermarking scheme that hides the mobile signals and messages in the transmission. The proposed method uses the successive even and odd values of a neighborhood to insert the authenticated signals or digital watermark (DW). That is the digital watermark information is not inserted in the adjacent column and row position of a neighborhood. The proposed method resolves the ambiguity between successive even odd gray values using LSB method. This makes the present method as more simple but difficult to break, which is an essential parameter for any mobile signals and messages. To test the efficacy of the proposed DW method, various statistical measures are evaluated, which indicates high robustness, imperceptibility, un-ambiguity, confidentiality and integrity of the present method.
CITED BY (6)  
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2 Kekre, H. B., Sarode, T., & Natu, S. (2014). Robust Watermarking Technique using Hybrid Wavelet Transform Generated from Kekre Transform and Discrete Cosine Transform. International Journal of Scientific and Research Publications, 4(2).
3 Kekre, H. B., & Natu, S. (2014). Performance Comparison of Watermarking by Sorting and Without Sorting the Hybrid Wavelet Transforms Generated from Sinusoidal and Non-sinusoidal Orthogonal Transforms. International Journal of Signal Processing, Image Processing and Pattern Recognition, 7(6), 163-182.
4 Kekre, H. B., Sarode, T., & Natu, S. Performance Analysis of Watermarking using Kronecker Product of Orthogonal Transforms and Wavelet Transforms.
5 Kekre, D. H., Sarode, D. T., & Natu, S. (2013). Robust watermarking using Walsh wavelets and SVD. International Journal of Advances in Science and Technology, 6(4), 8-23.
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Associate Professor B. Eswara Reddy
- India
Professor P. Harini
- India
Professor S. Maruthu Perumal
- India
Dr. V. VijayaKumar
- India