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A QR Data Hiding Method Based on Redundant Region and BCH

by Ying Zhou, Weiwei Luo

CETC Cloud (Beijing) Technology Co., Ltd., Beijing, 100041, China

* Corresponding Author: Ying Zhou. Email: email

Journal on Big Data 2021, 3(3), 127-133. https://doi.org/10.32604/jbd.2021.019236

Abstract

In recent years, QR code has been widely used in the Internet and mobile devices. It is based on open standards and easy to generate a code, which lead to that anyone can generate their own QR code. Because the QR code does not have the ability of information hiding, any device can access the content in QR code. Thus, hiding the secret data in QR code becomes a hot topic. Previously, the information hiding methods based on QR code all use the way of information hiding based on image, mostly using digital watermarking technology, and not using the coding rules of QR code to hide information. Therefore, we propose a distributed information sharing method based on QR code information hiding. On the one hand, we can start from the coding rules of QR code and use the information hiding method to maximize the capacity of secret information embedded in QR code. On the other hand, the distributed information sharing method is used to decentralize. At the same time, experimental results and analysis show that the proposed scheme can prevent the attack of camouflage attacker, and finally recover hidden information by secret reconstruction.

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Cite This Article

APA Style
Zhou, Y., Luo, W. (2021). A QR data hiding method based on redundant region and BCH. Journal on Big Data, 3(3), 127-133. https://doi.org/10.32604/jbd.2021.019236
Vancouver Style
Zhou Y, Luo W. A QR data hiding method based on redundant region and BCH. J Big Data . 2021;3(3):127-133 https://doi.org/10.32604/jbd.2021.019236
IEEE Style
Y. Zhou and W. Luo, “A QR Data Hiding Method Based on Redundant Region and BCH,” J. Big Data , vol. 3, no. 3, pp. 127-133, 2021. https://doi.org/10.32604/jbd.2021.019236



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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