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    REVIEW

    Digital Image Steganographer Identification: A Comprehensive Survey

    Qianqian Zhang1,2,3, Yi Zhang1,2, Yuanyuan Ma3, Yanmei Liu1,2, Xiangyang Luo1,2,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 105-131, 2024, DOI:10.32604/cmc.2024.055735 - 15 October 2024

    Abstract The rapid development of the internet and digital media has provided convenience while also posing a potential risk of steganography abuse. Identifying steganographer is essential in tracing secret information origins and preventing illicit covert communication online. Accurately discerning a steganographer from many normal users is challenging due to various factors, such as the complexity in obtaining the steganography algorithm, extracting highly separability features, and modeling the cover data. After extensive exploration, several methods have been proposed for steganographer identification. This paper presents a survey of existing studies. Firstly, we provide a concise introduction to the More >

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