Proceedings of the 2015 AASRI International Conference on Circuits and Systems

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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 AASRI International Conference on Circuits and Systems (CAS 2015)
Part of series
Advances in Computer Science Research
Publication Date
August 2015
ISBN
978-94-62520-74-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/cas-15.2015.69How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2015 AASRI International Conference on Circuits and Systems (CAS 2015)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.69
DO  - https://doi.org/10.2991/cas-15.2015.69
ID  - Ajin2015/08
ER  -