Dynamic Steganography Least Significant Bit with Stretch on Pixels Neighborhood

M. K. Harahap, N. Khairina
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引用次数: 1

Abstract

Background: The confidentiality of a message may at times be compromised. Steganography can hide such a message in certain media. Steganographic media such as digital images have many pixels that can accommodate secret messages. However, the length of secret messages may not match with the number of image pixels so the messages cannot be inserted into the digital images. Objective: This research aims to see the dynamics between an image size and a secret message’s length in order to prevent out of range messages entered in an image. Methods: This research will combine the Least Significant Bit (LSB) method and the Stretch technique in hiding secret messages. The LSB method uses the 8 th bit to hide secret messages. The Stretch technique dynamically enlarges the image size according to the length of the secret messages. Images will be enlarged horizontally on the rightmost image pixel block until n blocks of image pixels. Results: This study compares an original image size and a stego image size and examines a secret message’s length that can be accommodated by the stego image, as well as the Mean Square Error and Structure Similarity Index. The test is done by comparing the size change of the original image with the stego image from the Stretch results, where each original image tested always changes dynamically according to the increasing number of secret message characters. From the MSE and SSIM test results, the success was only with the first image, while the second image to the fourth image remained erroneous because they also did not have the same resolution. Conclusion: The combination of LSB steganography and the Stretch technique can enlarge an image automatically according to the number of secret messages to be inserted. For further research development, image stretch must not only be done horizontally but also vertically.
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动态隐写与像素邻域拉伸最小有效位
背景:消息的机密性有时可能会受到损害。隐写术可以在某些媒体中隐藏这样的信息。诸如数字图像之类的隐写媒体具有许多可以容纳秘密信息的像素。但是,秘密消息的长度可能与图像像素的数量不匹配,因此不能将消息插入数字图像中。目的:本研究旨在了解图像大小和秘密消息长度之间的动态关系,以防止在图像中输入超出范围的消息。方法:本研究将最低有效位(LSB)方法与拉伸技术相结合,实现秘密信息的隐藏。LSB方法使用第8位来隐藏秘密消息。拉伸技术根据秘密信息的长度动态放大图像大小。图像将在最右边的图像像素块上水平放大,直到n块图像像素。结果:本研究比较了原始图像大小和隐去图像大小,并检查了隐去图像可以容纳的秘密信息长度,以及均方误差和结构相似指数。该测试是通过比较原始图像与来自Stretch结果的隐去图像的大小变化来完成的,其中每个测试的原始图像总是根据秘密消息字符数量的增加而动态变化。从MSE和SSIM测试结果来看,只有第一张图像成功,而第二张图像到第四张图像仍然是错误的,因为它们也没有相同的分辨率。结论:LSB隐写技术与拉伸技术相结合,可以根据插入的密文数量自动放大图像。为了进一步的研究发展,图像拉伸不仅要在水平方向上进行,还要在垂直方向上进行。
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