SPM: estimating payload locations of QIM-based steganography in low-bit-rate compressed speeches
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19501-4.pdf
Reference28 articles.
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2. Lu W, Xue Y, Yeung Y et al (2021) Secure halftone image steganography based on pixel density transition. IEEE Trans Dependable Secure Comput 18(3):1137–1149. https://doi.org/10.1109/TDSC.2019.2933621
3. AL-Hagree S, Hadwan M, Aqlan A, et al (2021) A survey on different arabic text steganography techniques. In: 2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA), pp 1–8, https://doi.org/10.1109/eSmarTA52612.2021.9515740
4. Huang Y, Lei Z, Song Z, et al (2021) A video steganography scheme based on post-quantum cryptography. In: 2021 IEEE International Conference on Information Communication and Software Engineering (ICICSE), pp 83–87, https://doi.org/10.1109/ICICSE52190.2021.9404087
5. Lin Z, Huang Y, Wang J (2018) Rnn-sm: Fast steganalysis of voip streams using recurrent neural network. IEEE Trans Inf Forensics Secur 13(7):1854–1868. https://doi.org/10.1109/TIFS.2018.2806741
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