Coverless Image Steganography: A Survey

Coverless Image Steganography: A Survey
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DOI:
10.1109/access.2019.2955452
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发表时间:
2019
期刊:
影响因子:
3.9
通讯作者:
Jiaohua Qin;Yuanjing Luo;Xuyu Xiang;Yun Tan;Huajun Huang
Jiaohua Qin;Yuanjing Luo;Xuyu Xiang;Yun Tan;Huajun Huang
中科院分区:
计算机科学3区
文献类型:
--
作者:
Jiaohua Qin;Yuanjing Luo;Xuyu Xiang;Yun Tan;Huajun Huang

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随着信息的数字化,大量的多媒体数据受到攻击,信息安全成为人们关注的关键问题。图像隐写是近年来信息安全领域最具挑战性和最重要的课题之一,其目的是利用封面图像来传递秘密信息。与传统的图像隐写不同,隐蔽图像隐写不需要使用指定的封面图像来嵌入秘密数据,而是直接通过其自身的属性如像素亮度、颜色、纹理、边缘、轮廓和高级语义来传递秘密信息。因此,它从根本上抵抗了隐写分析工具的检测,显著提高了图像的安全性。它的基本思想是分析图像的属性,并根据属性的特点按照一定的规则将其映射到秘密信息中。本文收录了50多篇对该领域进行全面综述的重要贡献,涵盖了隐蔽图像隐写研究的主要方面:基本框架、预处理、特征提取、哈希序列的生成和映射关系。对现有的方法进行了评价,并对未来的工作进行了展望。
With the digitalization of information, a lot of multimedia data are under attack, information security has become a key issue of public concern. Image steganography, aiming at using cover images to convey secret information has become one of the most challenge and important subjects in the field of information security recently. Different from the traditional image steganography, coverless image steganography does not need to employ the designated cover image for embedding the secret data but directly transfers secret information through its own properties such as pixel brightness value, color, texture, edge, contour and high-level semantics. Therefore, it radically resist the detection of steganalysis tools and significantly improves the security of the image. Its basic idea is to analyze the attributes of the image and map them to the secret information according to certain rules based on the characteristics of the attributes. This paper includes more than 50 key contributions to provide a comprehensive survey in this field, covers the main aspects of coverless image steganography research: the fundamental frameworks, pre-processing, feature extraction, generation of hash sequence and mapping relationships. The existing methods are evaluated and the prospect of future work is also summarized.