Journal article
Zheng Xing, Xiaochen Yuan, Chan-Tong Lam
iScience, vol. 27, 2024, p. 111364
iScience, vol. 27, 2024, p. 111364
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APA
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Xing, Z., Yuan, X., & Lam, C.-T. (2024). Pattern-based quantum text watermarking: Securing digital content with next-Gen quantum techniques. IScience, 27, 111364. https://doi.org/10.1016/j.isci.2024.111364
Chicago/Turabian
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Xing, Zheng, Xiaochen Yuan, and Chan-Tong Lam. “Pattern-Based Quantum Text Watermarking: Securing Digital Content with next-Gen Quantum Techniques.” iScience 27 (2024): 111364.
MLA
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Xing, Zheng, et al. “Pattern-Based Quantum Text Watermarking: Securing Digital Content with next-Gen Quantum Techniques.” IScience, vol. 27, 2024, p. 111364, doi:10.1016/j.isci.2024.111364.
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@article{xing2024a,
title = {Pattern-based quantum text watermarking: Securing digital content with next-Gen quantum techniques},
year = {2024},
journal = {iScience},
pages = {111364},
volume = {27},
doi = {10.1016/j.isci.2024.111364},
author = {Xing, Zheng and Yuan, Xiaochen and Lam, Chan-Tong}
}
Abstract: As pioneers of next-generation watermarking technologies, quantum methods offer advanced solutions for securing digital text copyright. Quantum text representation is a prerequisite for realizing quantum watermarking. Thus we propose a generalized quantum text representation (GQTR) model for English text. It can accurately represent and retrieve characters, words, and texts. Based on the proposed GQTR, a multi-scale pattern-based quantum text watermarking (MPQTW) scheme is proposed, which embeds multi-scale images into quantum text simultaneously to protect digital text copyrights. To evaluate the scheme, we design various metrics. The quantum circuits for GQTR and MPQTW are designed in detail. Finally, we evaluate the effectiveness and performance of the MPQTW scheme in terms of imperceptibility, robustness, and embedding rate. The results and analysis show that MPQTW has good performance.