Abstract
The production, distribution, and consumption of counterfeit goods have been increasing at an alarming rate around the world. In order to resist the bad influence of fake and inferior products, an automatic encryption algorithm for anti-counterfeiting tags based on DWT-DCT and Chen’s chaos is proposed in this paper. Chen’s chaos is used to encrypt anti-counterfeiting tags on the basis of anti-counterfeiting technology in the algorithm, and the feature vectors are extracted from the encrypted tags by DWT-DCT. Then we set up the corresponding feature vector database. The normalized correlation coefficient (NC) is used to realize the automatic identification of encrypted anti-counterfeit tags. The experimental results show that the algorithm has a good robustness to common and geometrical attacks and has a larger key space to resist attacks such as brute-force attack and other deciphering methods. The results of our experiments indicate that the proposed algorithm is satisfactory in term of the higher security and extraordinary speed as compared to the existing algorithms.
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Acknowledgments
This work is supported by the Key Research Project of Hainan Province [ZDYF2018129], and by the National Natural Science Foundation of China [61762033] and the Natural Science Foundation of Hainan [20166227, 617048, 2018CXTD333] and the Key Innovation and Entrepreneurship Project of Hainan University [Hdcxcyxm201711].
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Dai, Q., Li, J., Bhatti, U.A., Cheng, J., Bai, X. (2019). An Automatic Identification Algorithm for Encrypted Anti-counterfeiting Tag Based on DWT-DCT and Chen’s Chaos. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_53
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DOI: https://doi.org/10.1007/978-3-030-24271-8_53
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