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一种基于二维码的无损恢复秘密分发方案。

A Lossless-Recovery Secret Distribution Scheme Based on QR Codes.

作者信息

Pan Jeng-Shyang, Liu Tao, Yan Bin, Yang Hong-Mei, Chu Shu-Chuan

机构信息

College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Department of Information Management, Chaoyang University of Technology, Taichung 413310, Taiwan.

出版信息

Entropy (Basel). 2023 Apr 13;25(4):653. doi: 10.3390/e25040653.

DOI:10.3390/e25040653
PMID:37190441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10137899/
Abstract

The visual cryptography scheme (VCS) distributes a secret to several images that can enhance the secure transmission of that secret. Quick response (QR) codes are widespread. VCS can be used to improve their secure transmission. Some schemes recover QR codes with many errors. This paper uses a distribution mechanism to achieve the error-free recovery of QR codes. An error-correction codeword (ECC) is used to divide the QR code into different areas. Every area is a key, and they are distributed to shares. The loss of any share will make the reconstructed QR code impossible to decode normally. Stacking all shares can recover the secret QR code losslessly. Based on some experiments, the proposed scheme is relatively safe. The proposed scheme can restore a secret QR code without errors, and it is effective and feasible.

摘要

视觉密码方案(VCS)将一个秘密分配到多个图像中,这可以增强该秘密的安全传输。二维码广泛应用。VCS可用于改善其安全传输。一些方案能恢复有许多错误的二维码。本文使用一种分发机制来实现二维码的无差错恢复。一个纠错码字(ECC)用于将二维码划分为不同区域。每个区域都是一个密钥,它们被分发给多个份额。任何一个份额的丢失都会使重建的二维码无法正常解码。堆叠所有份额可以无损恢复秘密二维码。基于一些实验,所提出的方案相对安全。该方案能够无误地恢复秘密二维码,是有效且可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/b0b300555024/entropy-25-00653-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/2cbfe79d5f03/entropy-25-00653-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/313cc34c7af4/entropy-25-00653-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/8b8846960a6e/entropy-25-00653-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/b0b300555024/entropy-25-00653-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/2cbfe79d5f03/entropy-25-00653-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/313cc34c7af4/entropy-25-00653-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/8b8846960a6e/entropy-25-00653-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41f6/10137899/b0b300555024/entropy-25-00653-g004.jpg

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本文引用的文献

1
Visual cryptography in single-pixel imaging.单像素成像中的视觉密码学。
Opt Express. 2020 Mar 2;28(5):7301-7313. doi: 10.1364/OE.383240.
2
Improving the Visual Quality of Size-Invariant Visual Cryptography for Grayscale Images: An Analysis-by-Synthesis (AbS) Approach.提高灰度图像大小不变视觉密码术的视觉质量:一种合成分析(AbS)方法。
IEEE Trans Image Process. 2018 Oct 8. doi: 10.1109/TIP.2018.2874378.
3
Halftone visual cryptography.半色调视觉密码术。
IEEE Trans Image Process. 2006 Aug;15(8):2441-53. doi: 10.1109/tip.2006.875249.