Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector
TL;DR
This article introduces a secure spread spectrum image steganography method using a CNN-based learned detector to enhance security by reducing reliance on a secret key, which is vulnerable to adversarial attacks in conventional approaches.
Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector
Hossein Fami Tafreshi; Emmanuel Papadakis; George Baryannis
https://doi.org/10.1109/ACCESS.2025.3647292
Volume 14
Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a secret key, without which neither message embedding nor data extraction is feasible. However, this secret key presents a potential security risk, as an adversarial service may attempt to uncover it, and if succ...