A New Buyer-Seller Watermarking Protocol with Discrete Cosine Transform

Kumar, Ashwani; Ansari, Mohd Dilshad; Ali, Jabir; Kumar, Kapil

doi:10.1007/978-3-642-19542-6_89

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…In this, there are four roles i.e. one is buyer, second is a seller, third is WCA device and fourth is DCT [18]. The seller provides the watermark embedding operation and sells the watermarked product to the buyer.…”

Section: Buyer Seller Watermarking Protocol (Bswp) Using Dctmentioning

confidence: 98%

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A Comparison of Buyer-Seller Watermarking Protocol (BSWP) Based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT)

Kumar

Ghrera

Tyagi³

2015

Advances in Intelligent Systems and Computing

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Abstract. Buyer-Seller watermarking protocol (BSWT) is used to preserve the rights for the buyer and the seller. Frequency domain watermarking embedding that is DCT and DWT can affect the robustness and imperceptibility of watermarking algorithm. This paper studies the comparison of both domain which is DCT and DWT and concludes which one is better on the bases of some parameters. Digital watermarking is a key technology to embed information as unperceivable signals in digital contents. Buyer-seller watermarking protocols based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) integrate digital watermarking algorithm and cryptography techniques for copyright protection. In this paper we have shown the comparison of these two, buyer-seller watermarking protocol based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). These two protocols use Public Key Infrastructure (PKI), arbitrator and watermarking certificate authority (WCA) for better security. This paper shows results of watermark image quality based on peak signal-to-noise ratio (PSNR) mean square error (MSE) and similarity factor (SF).

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Section: Buyer Seller Watermarking Protocol (Bswp) Using Dctmentioning

confidence: 98%

“…Here we have shown the details of possible transactions in the buyer seller watermarking protocol with DCT [18].…”

Section: Buyer Seller Watermarking Protocol (Bswp) Using Dctmentioning

confidence: 99%

A Comparison of Buyer-Seller Watermarking Protocol (BSWP) Based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT)

Kumar

Ghrera

Tyagi³

2015

Advances in Intelligent Systems and Computing

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“…The BSWP [7][8][9][10][11][12][13][14] should solve the problems, which exist in traditional protocol.…”

Section: Requirement For Cryptographic Operationmentioning

confidence: 99%

“…In general, a good watermarking [7,10] system should contain kerckhoffs principle, robustness, imperceptibility and effectiveness.…”

Section: Image Processing Requirementsmentioning

confidence: 99%

A lightweight buyer-seller watermarking protocol based on time-stamping and composite signal representation

Kumar¹,

Jain²,

Ali³

et al. 2018

IJET

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The protocol allows a content provider to detect duplicate copy of a digital content and restrict the content provider who blames the innocent customer. This paper, proposed a lightweight protocol, which uses composite signal representation and time-stamping for watermark embedding and extraction. We have used timestamp, which tells at what time the digital content was created, signed or verified to digital watermarking algorithms and uses the composite signal representation for minimizing the overhead and bandwidth due to the use of composite signals. The suggested protocol uses composite signal representations and timestamp based methods with digital watermarking scheme for content authentication. Our watermark embedding and detection algorithm achieves a balance between robustness and image visual quality. Simulation results demonstrate that the algorithm used by proposed protocol has an increase robustness and good quality of watermark images as well and withstand against various image-processing attacks.

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