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Data hiding and extraction using pseudo-random generation and cover image replication

2025· article· en· 3 citations· W4413912422 on OpenAlex· 10.5267/j.ijdns.2024.10.005

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

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All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

New steganography algorithm for hiding data in images; computer security.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The study proposes and evaluates a steganographic data-hiding algorithm.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Steganography algorithm using cover-image replication; security engineering, not research reproducibility.

Abstract

This paper introduces a new algorithm in Steganography for concealing secret messages or images within digital images. The algorithm is designed to produce stego images that can be transmitted to recipients without detection by potential attackers, thereby ensuring secure communication channels. The proposed algorithm employs a multi-level randomization technique to embed data within randomly selected cover images, with each byte of the secret image distributed across multiple cover images. This approach contrasts with conventional methods that hide data within a single cover image. Moreover, the algorithm incorporates a load-balancing priority system, a critical feature that ensures uniform stego image quality across the dataset. This strategic approach minimizes variations in Peak-Signal-to-Noise-Ratio (PSNR) values, contributing to consistent performance during data hiding and extraction processes and enhancing communication security. The security and recoverability of the secret image are further improved by a simplified Cipher key system based on SHA-256, which facilitates pseudo-random number generation. This system ensures that the hidden image can be recovered at the receiver's end, even in the face of potential attacks. Experimental results demonstrate comparable PSNR quality to existing methods, particularly when utilizing equal total resolution to deep hiding algorithms. Notably, the proposed algorithm offers an alternative to encryption by leveraging randomization, thereby complicating data extraction for potential attackers by distributing data across multiple images with a randomly generated cipher key.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
International Journal of Data and Network Science
Topic
Advanced Steganography and Watermarking Techniques
Field
Computer Science
Canadian institutions
Funders
Keywords
Cover (algebra)Replication (statistics)Image (mathematics)Extraction (chemistry)Computer scienceData extractionArtificial intelligencePattern recognition (psychology)MathematicsBiologyStatisticsChemistryMEDLINEEngineeringChromatography
Has abstract in OpenAlex
yes