Toward Resisting Black-Box Attacks: A Robust Coverless Image Steganography Based on Hierarchical CID and Dual SIFT

Summary

This paper proposes a robust coverless image steganography (CIS) method designed to resist black-box attacks. It builds a hierarchical coverless image dataset (CID) by computing the normalized average of Scale-Invariant Feature Transform (SIFT) keypoint descriptors, then maps hash sequences to images for hiding and extracting secret information. According to the authors, the method achieves higher capacity and stronger robustness than state-of-the-art CIS methods, and it is the first to consider robustness against black-box and mixed attacks in CIS.