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Photon-Counting Double-Random-Phase Image Authentication in the Fresnel Domain

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

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Abstract

In this paper, we propose a method for image authentication using photon counting and double random phase encryption technique in the Fresnel domain. Recently, it was reported that a better avalanche effect can be achieved for double random phase encoding (DRPE) in the Fresnel domain than that in the Fourier domain in bit units. Moreover, it was verified that photon counting technique can enhance the security of DRPE algorithm. Therefore, DRPE in the Fresnel domain combining with photon counting scheme is much safer for image authentication. In this study, an image is first encrypted by DRPE in the Fresnel domain. Then, a photon-limited encrypted image is produced by using photon counting method. Finally, the decrypted image which can not be easily visualized and recognized under a limited number of photon is authenticated with a statistical nonlinear correlation algorithm. Experimental results verify the feasibility of the proposed method.

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Authors and Affiliations

  1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

    Faliu Yi

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  1. Faliu Yi
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Correspondence to Faliu Yi .

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Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Yi, F. (2016). Photon-Counting Double-Random-Phase Image Authentication in the Fresnel Domain. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_43

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  • DOI: https://doi.org/10.1007/978-3-319-48674-1_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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