Anti-counterfeit Algorithm Based on Chebyshev Chaotic Neural Networks
Authors
Zou Ajin, Zhang Shilong, Tang Yana, Shen Yuli, Li Renfa
Corresponding Author
Zou Ajin
Available Online August 2015.
- 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/).
Cite this article
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 -