New VoIP Traffic Security Scheme with Digital Watermarking

With the development of the Internet, storage and transmission technologies such as printers and scanners, digital multimedia products are rapidly transmitted through the Internet broadcasting, multimedia works becoming easy to obtain and illegally tampering and copying. The copyright of media works urgently needs to be protected. As an important information security scheme, digital watermarking technology provides a powerful solution to the protection of multimedia works. In this paper, we propose an image digital watermarking algorithm combining discrete wavelet transform, discrete cosine transform and matrix singular value decomposition and new scrambling technique. Furthermore, to improve the robustness of the algorithm, grayscale scrambling and pseudo magic square transform are used. To evaluate our proposed algorithm, we realize the simulation based on Python 3.7. All the simulation results show that our proposed algorithm has strong imperceptibility and robustness.

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Security Scheme for Digital Watermarking

Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications ◽

10.2991/meita-15.2015.62 ◽

2015 ◽

Author(s):

Jun Xiao ◽

Ying Wang ◽

Dengyu Li ◽

Ying Zhang ◽

Li Zhu

Keyword(s):

Digital Watermarking ◽

Security Scheme

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Digital Watermarking – A Multidisciplinary Approach

CVR Journal of Science & Technology ◽

10.32377/cvrjst0504 ◽

2013 ◽

Vol 5 (1) ◽

pp. 18-23

Author(s):

L. Venkateswarlu ◽

◽

Dr. N V Rao ◽

Keyword(s):

Digital Watermarking ◽

Multidisciplinary Approach

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A New Scheme of Neural Network and DCT-Domain Based Digital Watermarking

International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore ◽

10.15242/iie.e0314147 ◽

2014 ◽

Keyword(s):

Neural Network ◽

Digital Watermarking ◽

Dct Domain

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Robust Multispectral Data Hiding in RGB Image Using Digital Watermarking

Color and Imaging Conference ◽

10.2352/issn.2169-2629.2017.32.213 ◽

2016 ◽

Vol 2016 (1) ◽

pp. 213-218

Author(s):

Kazushige Banzawa ◽

Kazuma Shinoda ◽

Madoka Hasegawa

Keyword(s):

Digital Watermarking ◽

Data Hiding ◽

Multispectral Data ◽

Rgb Image

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Evaluvation of Multiresolution Watermarking Algorithm

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.29 ◽

2017 ◽

Vol 7 (8) ◽

pp. 85

Author(s):

S. Thabasu Kannan ◽

S. Azhagu Senthil

Keyword(s):

Digital Watermarking ◽

Wavelet Transformation ◽

Signal To Noise Ratio ◽

Rapid Development ◽

Threshold Value ◽

Discrete Wavelet ◽

Digital Production ◽

Common Framework ◽

Sampling Operation ◽

Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing. The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel. For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

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