Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02923-0.pdf
Reference30 articles.
1. Chen Y, Chen Y, Yin A (2019) Feature selection for blind image steganalysis using neighborhood rough sets. J Intell Fuzzy Syst 37(3):3709–3720. https://doi.org/10.3233/JIFS-182836
2. Filler T, Fridrich J (2010) Gibbs construction in steganography. IEEE Trans Inf Forensic Secur 5(4):705–720. https://doi.org/10.1109/TIFS.2010.2077629
3. Holub V, Fridrich J, Denemark T (2014) Universal distortion function for steganography in an arbitrary domain. Eurasip J Inf Secur 2014(1):1. https://doi.org/10.1186/1687-417X-2014-1
4. Holub V, Fridrich J (2012) Designing steganographic distortion using directional filters. In: IEEE workshop on information forensic and security. https://doi.org/10.1109/WIFS.2012.6412655
5. Wang Y, Ma Y, Jin R, Liu P, Ning R (2020) Comprehensive criteria-based generalized steganalysis feature selection method. IEEE Access PP(99):1–1. https://doi.org/10.1109/ACCESS.2020.3018709
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