Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Secure QR Code Scheme Based on Visual Cryptography

Authors
Xiaohe Cao, Liuping Feng, Peng Cao, Jianhua Hu
Corresponding Author
Xiaohe Cao
Available Online November 2016.
DOI
10.2991/aiie-16.2016.99How to use a DOI?
Keywords
QR code; visual cryptography; secret sharing; pseudo-random modulation
Abstract

With the wide application of QR code, the security problem of QR code is serious, such as information leakage and data tampering. In order to solve the QR information security problem, this paper proposed a secure QR code schema based on visual cryptography. The QR code is divided into two share images that can be transmitted separately. The generation of the two share images is based on the pseudo-random matrix, that is, the pixels in the two share images are determined by the corresponding values in the pseudo-random matrix. The two share images can be stacked simply to restore the information. Simulation results show that the QR code image can be well hidden, and it can be restored effectively.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/aiie-16.2016.99
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.99How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaohe Cao
AU  - Liuping Feng
AU  - Peng Cao
AU  - Jianhua Hu
PY  - 2016/11
DA  - 2016/11
TI  - Secure QR Code Scheme Based on Visual Cryptography
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 433
EP  - 436
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.99
DO  - 10.2991/aiie-16.2016.99
ID  - Cao2016/11
ER  -