High capacity steganography technique based on wavelet transform

Divya, V.; Sasirekha, N.

doi:10.1109/get.2016.7916612

Cited by 7 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2016, Divya and Sasirekha introduced a steganography technique based on the discrete wavelet transform (DWT) to minimize distortion in the cover image. However, this method involves a trade-off between security and imperceptibility, prioritizing higher security over imperceptibility [22]. In 2018, Kumar et al proposed a DWT-based steganography approach that employed three different coefficients-horizontal, vertical, and diagonal-to conceal confidential images.…”

Section: Image Steganography Methodsmentioning

confidence: 99%

A Dynamic Multi-Layer Steganography Approach Based on Arabic Letters’ Diacritics and Image Layers

et al. 2023

View full text Add to dashboard Cite

Steganography is a widely used technique for concealing confidential data within images, videos, and audio. However, using text for steganography has not been sufficiently explored. Text-based steganography has the advantage of a low bandwidth overhead, making it a promising alternative for protecting sensitive information. Among languages, Arabic is known for its linguistic richness, making it ideal for text-based steganography. This paper proposes a robust, dynamic, and multi-layered steganography approach that uses text, encryption algorithms, and images. This approach utilizes Arabic diacritic features to hide limited-size and highly classified information. The algorithm uses several scenarios and is extensively tested to ensure the required level of security and user performance. The experimental results on actual data demonstrate the robustness of the proposed algorithm, with no noticeable impact on the carrier message (original text). Furthermore, no known potential attack can break the proposed algorithm, making it a promising solution for text-based steganography.

show abstract

Section: Image Steganography Methodsmentioning

confidence: 99%