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Information Encryption Mechanism Based on QR Code

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1156))

Abstract

With the rapid development of Internet of things technology, more and more attention has been paid to the security protection of personal information. This paper proposes an information encryption mechanism based on QR code to solve the problem of information leakage in data communication. The error correction mechanism of the QR code allows it to record information normally even if it is partially damaged. Taking advantage of this feature, this paper records secret information by changing limited data bits without destroying the original QR code. In addition, the secret sharing algorithm is introduced in this paper to divide the secret information into multiple parts for storage and transmission, and the original secret information can only be reproduced when all the information fragments are collected, further enhancing the security of information transmission. By combining the error correction mechanism of the QR code with the secret sharing algorithm, the secret information can be transmitted safely. The encryption mechanism can effectively reduce the suspicion of the attacker on the secret information, and has the advantages of large storage capacity and flexible storage.

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References

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Acknowledgments

The research of this paper is supported by Natural Science Foundation of China (No: 61662017, No: 61262075, No: 61862019), Guangxi special fund project for innovation-driven development (Guangxi science AA1811009) and Guangxi key research and development plan (Guangxi science AB17195042), Guangxi Natural Science Foundation (Grantno: 2017GXNSFAA198223), we would like to extend our sincere gratitude to them.

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Correspondence to Qiong Gui .

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Cheng, X., Niu, T., Gui, Q. (2020). Information Encryption Mechanism Based on QR Code. In: Zheng, Z., Dai, HN., Tang, M., Chen, X. (eds) Blockchain and Trustworthy Systems. BlockSys 2019. Communications in Computer and Information Science, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-15-2777-7_9

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  • DOI: https://doi.org/10.1007/978-981-15-2777-7_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2776-0

  • Online ISBN: 978-981-15-2777-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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