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Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

High-capacity image steganography secured by universal adversarial perturbations

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pp. 2227–2235Vol. 28Issue 5-BAugust 2025DOI: 10.47974/JDMSC-2462 Crossmark XML
Received:
05 Nov 2024
Published Online:
30 Aug 2025
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2462
Pages:
2227–2235

Abstract

Steganography embeds a significant amount of information within various data types, such as text, images, audio, or video, in a manner that complicates the presence of the hidden material or any detection efforts. The presented method improved the data-hiding capability and Security by employing Discrete Cosine Transform, Universal Adversarial Perturbation (UAP), and Discrete Wavelet Transform. A two-stage steganographic scheme has been developed in which secret data are first hidden within selected DCT coefficients of a two-level DWT decomposition and then subjected to a constrained Universal Adversarial Perturbation. UAP perturbs the cover image in a way that resists deep learning attacks. A scaling factor is calculated using the 2D DWT transform of the cover image and the DCT transform of the message image. By uniting high-capacity transform-domain embedding with adversarial noise generation, the approach achieves both substantial payload density and robust security against deep-learning-based detectors. 

Keywords

Subject Classifications

Primary 94A08Secondary 93A30

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