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With the development of the Internet, more and more people concern the protection of web pages. Fragile watermarking technique is an effective method for solving the tamper-proof of web pages. In this paper, a fragile watermarking scheme based on singular value decomposition (SVD) for web pages is proposed. First of all, a model utilizing the frequency of letters is used to denote a web page, and...
A watermarking-based host correlation detection method is proposed in this paper. The idea is to embed some unique watermark into the flow by slightly adjusting the timing of selected packets in the flow. In the embedding phase, we use network flow grouping strategy to divide the IPDs (i.e., interpacket delay) into two different groups randomly, and then realize the watermark embedding by utilizing...
Semi-fragile watermark has attracted attention due to its important role in content authentication for multimedia. In order to distinguish malicious tampering from incidental attacks, semi-fragile watermark must be robust against content-protection image processing. Due to the widely use of JPEG compression, it is always an important subject of semi-fragile watermarking research to improve the performance...
A fragile software watermarking scheme for integrity verification of software is proposed in this paper. The algorithm uses the idea of semantic-preserving code substitution for embedding the watermark. With the system, the generated watermark relates closely to the content of software, and the scheme has highly sensitive to different types of attacks. Furthermore, both watermark generating controlled...
With the development of the Internet, getting information through browsing Web pages has become a popular way. How to protect the integrity of a Web page is an urgent problem. As an effective method, a novel fragile watermarking scheme for tamper-proof of Web pages is proposed in this paper for solving the problem. In our scheme, the watermarks that are related to the content of the original Web page...
Based on local audio feature and support vector regression (SVR), an adaptive blind audio watermarking algorithm in wavelet domain is proposed in this paper. The audio signal is partitioned into audio frames, and the watermark is embedded in wavelet domain. For each audio frame, the energy and the maximal peaks of its all sub-bands are extracted as the local features, and SVR is used to model the...
This paper proposed a novel blind image watermark scheme in discrete cosine transform (DCT) domain. The original image is divided into small image blocks with size 8*8 first, and then the binary watermark bits are embedded into DCT domain of image blocks adaptively through a novel watermark embedding algorithm. The original image is not needed in the extraction algorithm. For gaining good fidelity...
Combined with audio features and the advantage of discrete multiwavelet transform (DMT) in signal processing, a novel audio watermarking scheme is proposed in this paper. Due to the high relevance between adjacent audio frames, the watermark embedding and detection are based on the energy relationship of two consecutive frames in multiwavelet domain. To enhance the robustness and auditory quality,...
A digital watermarking method for color image in wavelet domain is proposed. The watermarking information which include a section of template information, is embedded into low-frequency coefficients of Y component in YUV color space. This section of template information defines a kind of relation between the low-frequency coefficients corresponding to the four sub-images obtained by down-sampling...
A subsampling-based wavelet watermarking algorithm by using support vector regression (SVR) in the wavelet domain is presented in this paper. Four coefficient sets are obtained via DWT for four subimages gained by subsampling an original image. Because of the neighborhood correlation of image pixels, the coefficient sets are approximately equal. Due to the good learning and generalization capability...
An adaptive blind watermarking algorithm based on the human visual system (HVS) and support vector regression (SVR) in wavelet domain is proposed in this paper. Thanks to the good non-linear function learning and generalization capability, SVR is adopted to model the HVS to determine the adaptive watermark strength by considering the each image features which affect the visibility of the watermark...
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