数字图像隐写分析综述

doi:10.3969/j.issn.0255-8297.2024.05.001

Abstract

Abstract: Digital steganography plays a crucial role in securely transmitting confidential data by concealing it within common multimedia, such as images, videos, and audio, to facilitate covert communication. To discover the covert communication of steganography, the technique of steganalysis can be employed. Steganalysis determines whether a given multimedia object contains secret data according to the statistical anomaly of stego data caused by steganography. In recent years, both steganography and steganalysis have made significant progress and development in their mutual confrontation, particularly in the context of the growing prevalence of digital images on social networks. Focusing on digital images, this paper sorts out the development of steganalysis in the past decade, and reviews the traditional steganalysis and deep learning based-steganalysis. Then, the limitations of each approach are discussed. Finally, the study offers insights into the prospective development trends in steganalysis.

Key words: steganography, steganalysis, digital images, feature extraction, deep learning

CLC Number:

TP309

WANG Zichi, LI Bin, FENG Guorui, ZHANG Xinpeng. Review of Steganalysis for Digital Images[J]. Journal of Applied Sciences, 2024, 42(5): 723-732.

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Review of Steganalysis for Digital Images

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