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Open AccessArticle
Two Novel Quantum Steganography Algorithms Based on LSB for Multichannel Floating-Point Quantum Representation of Digital Signals
by
Meiyu Xu
Meiyu Xu 1
,
Dayong Lu
Dayong Lu 2,
Youlin Shang
Youlin Shang 1,*
,
Muhua Liu
Muhua Liu 1 and
Songtao Guo
Songtao Guo 1
1
School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471000, China
2
School of Mathematics and Statistics, Henan University, Kaifeng 475001, China
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(14), 2899; https://doi.org/10.3390/electronics14142899 (registering DOI)
Submission received: 9 June 2025
/
Revised: 7 July 2025
/
Accepted: 18 July 2025
/
Published: 20 July 2025
Abstract
Currently, quantum steganography schemes utilizing the least significant bit (LSB) approach are primarily optimized for fixed-point data processing, yet they encounter precision limitations when handling extended floating-point data structures owing to quantization error accumulation. To overcome precision constraints in quantum data hiding, the EPlsb-MFQS and MVlsb-MFQS quantum steganography algorithms are constructed based on the LSB approach in this study. The multichannel floating-point quantum representation of digital signals (MFQS) model enhances information hiding by augmenting the number of available channels, thereby increasing the embedding capacity of the LSB approach. Firstly, we analyze the limitations of fixed-point signals steganography schemes and propose the conventional quantum steganography scheme based on the LSB approach for the MFQS model, achieving enhanced embedding capacity. Moreover, the enhanced embedding efficiency of the EPlsb-MFQS algorithm primarily stems from the superposition probability adjustment of the LSB approach. Then, to prevent an unauthorized person easily extracting secret messages, we utilize channel qubits and position qubits as novel carriers during quantum message encoding. The secret message is encoded into the signal’s qubits of the transmission using a particular modulo value rather than through sequential embedding, thereby enhancing the security and reducing the time complexity in the MVlsb-MFQS algorithm. However, this algorithm in the spatial domain has low robustness and security. Therefore, an improved method of transferring the steganographic process to the quantum Fourier transformed domain to further enhance security is also proposed. This scheme establishes the essential building blocks for quantum signal processing, paving the way for advanced quantum algorithms. Compared with available quantum steganography schemes, the proposed steganography schemes achieve significant improvements in embedding efficiency and security. Finally, we theoretically delineate, in detail, the quantum circuit design and operation process.
Share and Cite
MDPI and ACS Style
Xu, M.; Lu, D.; Shang, Y.; Liu, M.; Guo, S.
Two Novel Quantum Steganography Algorithms Based on LSB for Multichannel Floating-Point Quantum Representation of Digital Signals. Electronics 2025, 14, 2899.
https://doi.org/10.3390/electronics14142899
AMA Style
Xu M, Lu D, Shang Y, Liu M, Guo S.
Two Novel Quantum Steganography Algorithms Based on LSB for Multichannel Floating-Point Quantum Representation of Digital Signals. Electronics. 2025; 14(14):2899.
https://doi.org/10.3390/electronics14142899
Chicago/Turabian Style
Xu, Meiyu, Dayong Lu, Youlin Shang, Muhua Liu, and Songtao Guo.
2025. "Two Novel Quantum Steganography Algorithms Based on LSB for Multichannel Floating-Point Quantum Representation of Digital Signals" Electronics 14, no. 14: 2899.
https://doi.org/10.3390/electronics14142899
APA Style
Xu, M., Lu, D., Shang, Y., Liu, M., & Guo, S.
(2025). Two Novel Quantum Steganography Algorithms Based on LSB for Multichannel Floating-Point Quantum Representation of Digital Signals. Electronics, 14(14), 2899.
https://doi.org/10.3390/electronics14142899
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