Open Access

ARTICLE

Quantum Steganography Application in the Electrical Network for Quantum Image and Watermark with Self-Adaptive

Jie Shen^1,3,*,#, Wenqi Dong^2,#, Jing Wang^1,2,3,#, Yang Wang¹, Haiyan Li⁴

1 State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co., Zhangjiakou, China
2 Hebei Province Wind and Solar Energy Storage Combined Power Generation Technology Innovation Center, Zhangjiakou, China
3 Beijing University of Posts & Telecom, Beijing, China
4 Heibei Gaoji Auto Parts Technology Co., Shijiazhuang, China

* Corresponding Author: Jie Shen. Email:
#These authors contributed equally to this work and should be considered co-first authors

Journal of Information Hiding and Privacy Protection 2021, 3(3), 109-120. https://doi.org/10.32604/jihpp.2021.025602

Received 29 November 2021; Accepted 12 December 2021; Issue published 07 February 2022

Abstract

With the development of Globe Energy Internet, quantum steganography has been used for information hiding to improve copyright protection. Based on secure quantum communication protocol, and flexible steganography, secret information is embedded in quantum images in covert communication. Under the premise of guaranteeing the quality of the quantum image, the secret information is transmitted safely with virtue of good imperceptibility. A novel quantum watermark algorithm is proposed in the paper, based on the shared group key value of the communication parties and the transmission of the selected carrier map pixel gray higher than 8 bits. According to the shared group key value of the communication parties, the two effective Bell state qubits of the carried quantum streak image are replaced with secret information. Compared with the existing algorithms, the new algorithm improves the robustness of the secret information itself and the execution efficiency of its embedding and extraction. Experimental simulation and performance analysis also show that the novel algorithm has an excellent performance in transparency, robustness and embedded capacity.

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Keywords

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