Bibliographic Details
| Title: |
基于重叠汉明码的QR 码信息隐藏方案设计. |
| Alternate Title: |
A QR code information hiding scheme design based on over lapping Hamming code. |
| Authors: |
张丽娜1 zhangln@xust.edu.cn, 侯明会1 2470385345@qq.com, 辛 鹏1 946115912@qq.com, 刘 苗1 2986554848@qq.com, 岳恒怡1 2209913459@qq.com |
| Source: |
Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Jan2026, Vol. 48 Issue 1, p61-69. 9p. |
| Subjects: |
Hamming codes, Error-correcting codes, Privacy, Cryptography, Two-dimensional bar codes |
| Abstract (English): |
QR codes are widely used due to their large information capacity, fast decoding speed, and error tolerance capability. However, because their decoding rules are publicly available, they are prone to privacy leakage. To address this issue, this paper leverages the fundamental properties of QR codes to propose an information-hiding scheme for QR codes based on overlapping Hamming codes to protect sensitive information within QR codes. This scheme uses a two-level grayscale QR code, transformed from a standard black-and-white QR code, as the carrier, reducing the extent of modifications to the information-hiding locations and enhancing the invisibility of the secret information. Additionally, an overlapping (16, 11) Hamming code algorithm and a corresponding codeword modification rule table are designed to hide a greater number of secret bits. Compared to existing approaches, the proposed scheme achieves superior performance in terms of secret payload capacity and embedding efficiency, while simplifying processes of information hiding and extraction. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
QR码因其信息容量大、解码速度快且具有较好的容错能力而被广泛应用。然而,由于其解 码规则公开,容易造成隐私泄露。为此,结合QR码的基本性质,提出了一种基于重叠汉明码的QR码信 息隐藏方案来保护QR码中的敏感信息。该方案以普通黑白QR 码转变的二级灰度QR 码作为载体,降 低了信息隐藏位置的更改程度,提高了秘密信息的不可见性。同时设计了重叠(16,11)汉明码算法及相应 码字更改规则表,从而隐藏更多位秘密信息。与现有研究工作相比,所提方案在秘密有效载荷和嵌入效率 方面取得了更好的性能,信息隐藏和提取过程更加简便. [ABSTRACT FROM AUTHOR] |
|
Copyright of Computer Engineering & Science / Jisuanji Gongcheng yu Kexue is the property of Computer Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
