Is blind image steganalysis practical using feature-based classification?-Reference-Cited by-同舟云学术

Is blind image steganalysis practical using feature-based classification?

Published:2023-05-26 Issue:2 Volume:83 Page:4579-4612
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Aljarf Ahd,Zamzami Haneen,Gutub Adnan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15682-6.pdf

Reference69 articles.

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2. Abu-Hashem M et al (2023) Discrepancies of remote techno-tolerance due to COVID-19 pandemic within Arab middle-east countries. Journal of Umm Al-Qura University for Engineering and Architecture, Springer. https://doi.org/10.1007/s43995-023-00026-0

3. Abdulla AA (2015) Exploiting similarities between secret and cover images for improved embedding efficiency and security in digital steganography. Diss. University of Buckingham.

4. Al-Roithy BO et al (2021) Remodeling randomness prioritization to boost-up security of RGB image encryption. Multimedia Tools and Applications 80(18):28521-28581. https://doi.org/10.1007/s11042-021-11051-3

5. Al-Shaarani F, Gutub A (2022) Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography. Arabian J Sci Eng (AJSE) 47(2):2455–2477. https://doi.org/10.1007/s13369-021-06165-7

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