Information Hiding Scheme Based on Quantum Generative Adversarial Network

被引：0
|
作者：
Luo J. [1 ,2 ]
Zhou R. [1 ,2 ]
Li Y. [1 ,2 ]
Liu G. [1 ]
机构：
[1] College of Information Engineering, Shanghai Maritime University, Shanghai
[2] Research Center of Intelligent Information Processing and Quantum Intelligent Computing, Shanghai
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2021年 / 33卷 / 07期
关键词：
Information hiding; QGAN; Quantum image; Quantum image steganography;
D O I：
10.3724/SP.J.1089.2021.18617
中图分类号：
学科分类号：
摘要：
Due to the insecurity of quantum image information hiding technology in the face of statistical-based steganalysis algorithm detection, an information hiding scheme based on quantum generative adversarial network (QGAN) is proposed. This scheme first uses the mapping rules to map the secret information into the single qubit gate to prepare for the input state of the parameterized quantum circuit of the generator QGAN. Then the stego quantum image is generated by the generating circuit in QGAN. Finally, the sample data obtained by measuring the stego image and the real data are used as the input of the discriminator D. The iterative optimization is performed so that G can obtain a stego image close to the target image. The experimental results show that proposed scheme can generate stego images that fit the target image distribution well and achieve the non-embedded hiding of information. © 2021, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
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页码：983 / 990
页数：7
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