Hybrid Asymmetric Watermarking using Correlation and Critical Criteria 


Vol. 30,  No. 7, pp. 726-734, Jul.  2005


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  Abstract

Traditional watermarking technologies are symmetric method which embedding and detection keys are the same. Although the symmetric watermarking method is easy to detect the watermark, this method has weakness against to malicious attacks remove or modify the watermark information when the symmetric key is disclosure. Recently, the asymmetric watermarking method that has different keys to embed and detect is watched by severalresearchers as a next generation watermarking technology.
In this paper, hybrid asymmetric watermarking algorithm is proposed. This algorithm is composed of correlation detection method and critical criteria method. Each method can be individually used to detect watermark from a watermarked content. Hybrid asymmetric detection is complement between two methods, and more feasible than when each method is used respectively. Private key and public key are generated by secure linear transformation and specific matrix.
As a result, we have proved the proposed algorithm is secured than symmetric watermarking algorithms. This algorithm can expand to multi bits embedding watermark system and is robust to JPEG and JPEG2000 compression.

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  Cite this article

[IEEE Style]

D. Li, J. Kim, J. Choi, "Hybrid Asymmetric Watermarking using Correlation and Critical Criteria," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 7, pp. 726-734, 2005. DOI: .

[ACM Style]

De Li, Jong-Weon Kim, and Jong-Uk Choi. 2005. Hybrid Asymmetric Watermarking using Correlation and Critical Criteria. The Journal of Korean Institute of Communications and Information Sciences, 30, 7, (2005), 726-734. DOI: .

[KICS Style]

De Li, Jong-Weon Kim, Jong-Uk Choi, "Hybrid Asymmetric Watermarking using Correlation and Critical Criteria," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 7, pp. 726-734, 7. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880