A Mellin transform based video steganography with improved resistance to deep learning steganalysis for next generation networks

Author:

R B Sushma,G R Manjula,Belavagi Manjula C.ORCID

Publisher

Elsevier BV

Reference15 articles.

1. Deep residual network for steganalysis of digital images;Boroumand;IEEE TransInformForensic Secur.,2019

2. Multi-directional block based PVD and modulus function image steganography to avoid FOBP and IEP;Sahu;J. Inf. Secur. Appl.,2021

3. Multimedia communication security in 5G/6G coverless steganography based on image text semantic association. Wang J, editor;Hao;Secur. Commun. Netw.,2021

4. StegVRN: enhancing quality of video steganography using CNN-based object selection;Sushma;SN. Comput. Sci.,2024

5. Secure AAC steganography scheme based on multi-view statistical distortion (SofMvD);Ren;J. Inf. Secur. Appl.,2021

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