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Highly Robust and Diverse Coverless Image Steganography Against Passive and Active Steganalysis

IEEE Transactions on Dependable and Secure Computing 2025年第3期22卷 2771-2787页

作者： Guo, Bobiao Ping, Ping Xu, Feng Hohai University College of Computer Science and Software Engineering Nanjing210098 China Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources Nanjing210098 China Jiangsu Ocean University School of Computer Engineering Lianyungang222005 China

To avoid the pixel modification traces left by steganography from being detected by passive steganalysis, and to prevent the hidden data from being destroyed by active steganalysis attacks, Coverless Image Steganography (CIS) that does not modify pixels has attracted widespread attention. However, most existing CIS methods are limited in their maximum capacity due to insufficient diversity in their hash sequences. In addition, these methods struggle to maintain high robustness against both geometric and non-geometric attacks simultaneously. To address these two issues, a new coverless image steganography method is proposed to enhance CIS methods’ applicability, security, and robustness in highly insecure networks. During the hiding process, hash sequences are generated by a SHA-256 algorithm that integrates inter-block and inter-channel fusion, providing higher diversity than other CIS methods. Consequently, the proposed CIS method achieves higher capacity on publicly available datasets. During the extraction process, an evaluation metric that combines visual and histogram similarity is designed to improve the accuracy of inverse image retrieval. The experimental results demonstrate that the proposed CIS method achieves capacity increases of 26.73% and 38.34% over other CIS methods on the VOC and COCO datasets, respectively. Moreover, this method exhibits nearly 100% robustness against common active steganalysis. © 2004-2012 IEEE.

关键词： Steganography Robustness Feature Extraction Data Mining Image Retrieval Visualization Accuracy Software Indexes Histograms Coverless Image Steganography CIS hash generation algorithm Inverse Image Retrieval Steganalysis High Robustness Robust Image Image Coding Hidden Information Retrieval Accuracy Visual Similarity COCO Dataset Convolutional Neural Network Computational Complexity Robust Method Image Dataset Bit Error Rate Types Of Attacks Auxiliary Information Scale Invariant Feature Transform Index Database Histogram Bins Length Information Cover Image Military Intelligence Secret Information Center Crop Secure Transmission Salt And Pepper Noise XOR Operation Number Of Different Sequences JPEG Compression Generative Adversarial Networks Pixel Position Common Attacks

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