mlsanityData to 14 Oct 2026

DDIM-Driven Coverless Steganography Scheme with Real Key

arXiv 2411.06486 ↗First posted 10 Nov 2024cs.CR cs.CVcited by 0

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Abstract (arXiv)

With the advancement of information hiding techniques, generation-based coverless steganography has emerged as an alternative to traditional methods, leveraging generative models to transform secret information into stego-objects rather than embedding it within the redundancy of the cover. However, existing generation-based approaches require pseudo-keys that must be shared between communication parties, leading to high overhead of frequent key exchanges and security risks due to their tight coupling with the secret information. This paper proposes a DDIM-driven coverless steganography scheme that utilizes a real-key mechanism, improving the key management. By integrating reversible data hiding (RDH) and chaotic encryption into generation model, the proposed method eliminates excessive key exchanges and reduces the correlation between the key and the secret information. Furthermore, it requires only a single key negotiation for multiple communication, which lowers overhead. Experimental results demonstrate that the proposed scheme resists substitution attacks, enhancing the security of covert communication.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 28 references that are in the map. First posted on arXiv 10 Nov 2024.

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9 of 28 references.

References · 9

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2020Denoising Diffusion Implicit Modelscited by 9,781
  3. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  4. 2022Generative Adversarial Networkscited by 5,627
  5. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,101
  6. 2023CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganographycited by 50
  7. 2022Secret-to-Image Reversible Transformation for Generative Steganographycited by 13
  8. 2018Coverless information hiding based on Generative Modelcited by 3
  9. 2019Reversible data hiding based on reducing invalid shifting of pixels in histogram shiftingcited by 1

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  1. 2024Plug-and-Hide: Provable and Adjustable Diffusion Generative Steganography
  2. 2025SemSteDiff: Generative Diffusion Model-based Coverless Semantic Steganography Communication
  3. 2023Generative Steganography Diffusion
  4. 2024Provably Secure Robust Image Steganography via Cross-Modal Error Correction
  5. 2026Secret-Stego Dissimilarity as a Design Axis: Invertible Coverless Image Steganography with Diffusion Models
  6. 2026DTAMS: High-Capacity Generative Steganography via Dynamic Multi-Timestep Selection and Adaptive Deviation Mapping in Latent Diffusion
  7. 2026Rethinking Security of Diffusion-based Generative Steganography
  8. 2023Stable Messenger: Steganography for Message-Concealed Image Generation