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Privacy Monitor

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Digital Forensics and Watermarking (IWDW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10082))

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Abstract

This paper first proposes a design for privacy monitor that only users at the right angle viewpoint can see the screen clearly, while users at a large enough deviated angle viewpoint cannot see any useful information on the screen. The space where users from that viewpoint can see the screen is called visible space in this paper. Then the visible space of the proposed privacy monitor is completely characterized for IPS screen. By adjusting the distance between the two liquid crystal layers, the size of the visible space can be controlled in such a way that larger distance will result in a smaller visible space, while smaller distance will result in a larger visible space.

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Acknowledgements

This work was supported by the “Fundamental Research Funds for the Central Universities” grant No. 3262016T47 and the NSFC grant No. 61671448 and the key project of NFSC grant No. U1536207 and the “Strategic Priority Research Program” of the Chinese Academy of Sciences No. XDA06010701. Besides, many thanks to the handling editor and anonymous reviewers for their valuable comments that help us to improve this paper.

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Authors and Affiliations

  1. School of Information Science and Technology, University of International Relations, Beijing, 100091, China

    Teng Guo & BingTao Yu

  2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Feng Liu & Wen Wang

  3. University of Chinese Academy of Sciences, Beijing, 100190, China

    Feng Liu & Wen Wang

Authors
  1. Teng Guo
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  2. Feng Liu
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  3. Wen Wang
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  4. BingTao Yu
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Corresponding author

Correspondence to Teng Guo .

Editor information

Editors and Affiliations

  1. New Jersey Institute of Technology, Newark, New Jersey, USA

    Yun Qing Shi

  2. Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  3. University of Vigo, Vigo, Spain

    Fernando Perez-Gonzalez

  4. Chinese Academy of Sciences, Beijing, China

    Feng Liu

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Guo, T., Liu, F., Wang, W., Yu, B. (2017). Privacy Monitor. In: Shi, Y., Kim, H., Perez-Gonzalez, F., Liu, F. (eds) Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science(), vol 10082. Springer, Cham. https://doi.org/10.1007/978-3-319-53465-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-53465-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53464-0

  • Online ISBN: 978-3-319-53465-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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