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Robust Coverless Image Steganography Based on SIFT and DWT Sequence Mapping

Su-Ho Chiu, Chen-Yi Lin

202411 citationsDOI

Abstract

With the rapid development of technology in recent years, people are increasingly concerned about transmission security. The emergence of coverless image steganography has addressed the limitations of traditional image steganography and greatly enhanced transmission security. However, existing coverless image steganography generally suffers from the problem of exponential growth in the number of images while gradually developing a reliance on encrypted auxiliary information. Therefore, this study proposes a coverless image steganography based on Scale-Invariant Feature Transform (SIFT) and Discrete Wavelet Transform (DWT) sequence mapping, which significantly increases sequence diversity by adopting a dual method for generating feature sequences, thus reducing the requirement of the number of images. In addition, transmitting the collage stego-image avoids the suspicion caused by sending the encrypted auxiliary information, significantly enhancing security. The experimental results show that this study demonstrates excellent robustness and mapping integrity, an essential contribution to information security.

Topics & Concepts

Artificial intelligenceScale-invariant feature transformComputer scienceComputer visionSteganographySequence (biology)Image (mathematics)Steganography toolsPattern recognition (psychology)BiologyGeneticsAdvanced Steganography and Watermarking TechniquesDigital Media Forensic DetectionChaos-based Image/Signal Encryption