https://scholars.lib.ntu.edu.tw/handle/123456789/632632
標題: | Rate-Distortion-Based Stego: A Large-Capacity Secure Steganography Scheme for Hiding Digital Images | 作者: | Pan, Yi Lun JA-LING WU |
關鍵字: | generative adversarial network | image steganography | information hiding | mutual information | rate-distortion | 公開日期: | 1-七月-2022 | 出版社: | MDPI | 卷: | 24 | 期: | 7 | 來源出版物: | Entropy | 摘要: | Steganography is one of the most crucial methods for information hiding, which embeds secret data on an ordinary file or a cover message for avoiding detection. We designed a novel rate-distortion-based large-capacity secure steganographic system, called rate-distortion-based Stego (RD-Stego), to effectively solve the above requirement. The considered effectiveness of our system design includes embedding capacity, adaptability to chosen cover attacks, and the stability of the trained model. The proposed stego scheme can hide multiple three-channel color images and QR codes within another three-channel color image with low visual distortion. Empirically, with a certain degree of robustness against the chosen cover attack, we state that the system offers up to 192+ bits-per-pixel (bpp) embedding of a payload and leaks no secret-related information. Moreover, to provide theoretical foundations for our cost function design, a mutual information-based explanation of the choices of regulation processes is herein included. Finally, we justify our system’s claimed advantages through a series of experiments with publicly available benchmark datasets. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/632632 | ISSN: | 1099-4300 | DOI: | 10.3390/e24070982 |
顯示於: | 電機工程學系 |
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