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Steganography using edge adaptive image

机译:使用边缘自适应图像的隐写术

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The growth of high speed computer networks and that of the Internet, in particular, has increased the ease of Information Communication. Ironically, the cause for the development is also of the apprehension - use of digital formatted data. In comparison with Analog media, Digital media offers several distinct advantages such as high quality, easy editing, high fidelity copying, compression etc. But this type advancement in the field of data communication in other sense has hiked the fear of getting the data snooped at the time of sending it from the sender to the receiver. So, Information Security is becoming an inseparable part of Data Communication. In order to address this Information Security Steganography plays an important role. Steganography is the art and science of writing hidden messages in such a way that no one apart from the sender and intended recipient even realizes there is a hidden message. This paper is a tutorial review of the steganography techniques appeared in the literature. Various image steganography techniques have been proposed. In this paper, we investigate steganography techniques and steganalysis techniques. We state a set of criteria to analyze and evaluate the strengths and weaknesses of the presented techniques. The least-significant bit (LSB) insertion method is the most common and easiest method for embedding messages in an image with high capacity, while it is detectable by statistical analysis such as RS and Chi-square analyses. This paper has proposed a novel LSB image steganography algorithm that can effectively resist image steganalysis based on statistical analysis.
机译:高速计算机网络的增长,尤其是Internet的增长,增加了信息通信的便利性。具有讽刺意味的是,发展的原因也在于担心-使用数字格式的数据。与模拟媒体相比,数字媒体具有许多独特的优势,例如高质量,易于编辑,高保真复制,压缩等。但是,从其他意义上讲,数据通信领域的这种类型的进步也使人们担心会窥探到数据。将其从发送方发送到接收方的时间。因此,信息安全已成为数据通信不可分割的一部分。为了解决此问题,信息安全隐秘术扮演着重要角色。隐写术是一种以隐藏方式编写隐藏消息的艺术和科学,这种方式使得发件人和预期收件人中没有人甚至没有意识到存在隐藏消息。本文是对文献中出现的隐写术技术的教程回顾。已经提出了各种图像隐写术技术。在本文中,我们研究了隐写术技术和隐写分析技术。我们提出了一套标准来分析和评估所提出技术的优缺点。最低有效位(LSB)插入方法是将消息嵌入高容量图像中的最常见和最简单的方法,同时它可以通过统计分析(例如RS和卡方分析)检测到。本文提出了一种新的基于统计分析的能有效抵抗图像隐写分析的LSB图像隐写算法。

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