| Title | High capacity coverless image steganography method based on geometrically robust and chaotic encrypted image moment feature |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Liu, Xiyao, Fang, Yaokun, He, Feiyi, Li, Zhaoying, Zhang, Yayun, Zeng, Xiongfei |
| Conference Name | 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
| Date Published | oct |
| Keywords | chaotic communication, composability, Conferences, feature extraction, Harmonic analysis, Metrics, privacy, pubcrawl, Robustness, steganography, steganography detection, Watermarking |
| Abstract | In recent years, coverless image steganography attracts significant attentions due to its distortion-free trait on carrier images to avoid the detection by steganalysis tools. Despite this advantage, current coverless methods face several challenges, e.g., vulnerability to geometrical attacks and low hidden capacity. In this paper, we propose a novel coverless steganography algorithm based on chaotic encrypted dual radial harmonic Fourier moments (DRHFM) to tackle the challenges. In specific, we build mappings between the extracted DRHFM features and secret messages. These features are robust to various of attacks, especially to geometrical attacks. We further deploy the DRHFM parameters to adjust the feature length, thus ensuring the high hidden capacity. Moreover, we introduce a chaos encryption algorithm to enhance the security of the mapping features. The experimental results demonstrate that our proposed scheme outperforms the state-of-the-art coverless steganography based on image mapping in terms of robustness and hidden capacity. |
| DOI | 10.1109/SMC52423.2021.9658860 |
| Citation Key | liu_high_2021 |
High capacity coverless image steganography method based on geometrically robust and chaotic encrypted image moment feature