Maximizing complex features to minimize the detectability of content-adaptive steganography
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-20056-7.pdf
Reference48 articles.
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2. Widiono S, Safriandono AN, Budi S (2024) Phishing Website Detection Using Bidirectional Gated Recurrent Unit Model and Feature Selection. J Futur Artif Intell Technol 2:75–83. https://doi.org/10.62411/faith.2024-15
3. Setiadi DRIM, Rustad S, Andono PN, Shidik GF (2023) Digital image steganography survey and investigation (goal, assessment, method, development, and dataset). Signal Process 206:108908. https://doi.org/10.1016/j.sigpro.2022.108908
4. Andono PN, Setiadi DRIM (2023) Quantization selection based on characteristic of cover image for PVD Steganography to optimize imperceptibility and capacity. Multimed Tools Appl 82:3561–3580. https://doi.org/10.1007/s11042-022-13393-y
5. Wang D, Yang G, Guo Z, Chen J (2024) Improving image steganography security via ensemble steganalysis and adversarial perturbation minimization. J Inf Secur Appl 85:103835. https://doi.org/10.1016/j.jisa.2024.103835
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