Anti-counterfeit Algorithm Based on Chebyshev Chaotic Neural Networks

DOI

10.2991/cas-15.2015.69How to use a DOI?

Keywords

traceability code; anti-counterfeit; food safety; encryption;hiding.

Abstract

In this study, an anti-counterfeiting algorithm is proposed to prevent the traceability code from being forged. The traceability code is enciphered using the encryption matrix generated by Chebyshev chaotic neural networks, which is then hidden as an invisible watermark in the package label. If the watermark can not be extracted from the package label, or the watermark extracted does not accord with the original traceability code, then it can be determined that the traceability code is counterfeit. The simulation results clearly indicate that this measure can effectively prevent the traceability code from being forged, thus help the enterprises to safeguard their legitimate rights and interests.

Copyright

© 2015, 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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TY  - CONF
AU  - Zou Ajin
AU  - Zhang Shilong
AU  - Tang Yana
AU  - Shen Yuli
AU  - Li Renfa
PY  - 2015/08
DA  - 2015/08
TI  - Anti-counterfeit Algorithm Based on Chebyshev Chaotic Neural Networks
BT  - Proceedings of the 2015 AASRI International Conference on Circuits and Systems
PB  - Atlantis Press
SP  - 290
EP  - 294
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.69
DO  - 10.2991/cas-15.2015.69
ID  - Ajin2015/08
ER  -