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High security self-encoded spread spectrum watermarking using genetic algorithms

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Abstract

Spread spectrum modulation based watermarking has proved to be effective, robust and cryptographically secure. It hides watermark by spreading its spectrum with a pseudo-noise (PN) sequence and then adding them to a host image as a watermarked image. In regular approaches, to achieve PN sequence at the transmitter, receiver must use a separate channel for detecting hidden information. The unique PN sequence must have a low cross correlation and thereby can be duplicated easily by hostile attackers. In this paper a novel approach based on the Self-Encoded Spread Spectrum (SESS) is proposed. PN code is derived from the original image signal itself and the spreading sequence of watermark signal is recovered without any information from the transmitter. It is contributed a higher secure feature by using of the time-varying SESS. Genetic algorithm is applied to achieve best BER and PAD by optimizing Spreading Length, Quantization Length, payload capacity and Signal to interference ratio.

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Acknowledgments

This research was supported in part by DUE S-STEM Grant-1154490 from the US Natural Science Foundation and seed grant in Dept. of Electrical and Computer Engineering at Lawrence Technological University

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Lawrence Technological University, 21000 Ten Mile Rd. E220, Southfield, MI, USA

    Kun Hua

  2. Department of Computer Science, San Diego State University, 5500 Campanile Dr, San Diego, CA, 92115, USA

    Wei Wang

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  1. Kun Hua
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  2. Wei Wang
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Correspondence to Kun Hua.

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Hua, K., Wang, W. High security self-encoded spread spectrum watermarking using genetic algorithms. Telecommun Syst 60, 143–148 (2015). https://doi.org/10.1007/s11235-014-9928-x

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  • DOI: https://doi.org/10.1007/s11235-014-9928-x

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