Anti-counterfeit Algorithm Based on Chebyshev Chaotic Neural Networks
Zou A-jin, Zhang Shilong, Tang Ya-na, Yuli Shen, Renfa Li · Advances in computer science research · 2015
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.