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Research on Two-Dimensional Code Packaging Advertising and Anti-counterfeiting Based on Blockchain

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Abstract

With the rapid development of Internet technology and the national economy, the brand awareness of consumers and businesses is getting stronger and stronger. However, how to identify application solutions for counterfeit and shoddy goods is a serious challenge for commodity brand. This paper designs and implements a two-dimensional code packaging advertising and anti-counterfeiting model based blockchain. It is applied to process the commodity information in the packaging field, based on the decentralization, openness, autonomy, anonymity and non-tamper ability of blockchain, combined with two-dimensional code technology. The model is based on network transmission interaction, has the advantages of high unforgeability, low cost, easy implementation, fast access, etc. It has a good technical reference value for implementing packaging advertising, anti-counterfeiting and blockchain application.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China under Grants numbers 61502163, in part by the Hunan Provincial Natural Science Foundation of China under grant numbers 2016JJ5035, 2016JJ3051 and 2015JJ3046, in part by the Hunan Provincial Science and Technology Project under grant number 2015TP1003, in part by the Project of China Packaging Federation under grant numbers 2014GSZJWT001KT010, 17ZBLWT001KT010, in part by the National Packaging Advertising Research Base and Hunan Packaging Advertising Creative Base under grant number 17JDXMA03, in part by the Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory under grant number 2017KF07.

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Correspondence to Rongrong Chen .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wu, Y., Chen, R., Tan, Y., Shao, Z. (2019). Research on Two-Dimensional Code Packaging Advertising and Anti-counterfeiting Based on Blockchain. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-19086-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19085-9

  • Online ISBN: 978-3-030-19086-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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