LSB&lt;sup&gt;++&lt;/sup&gt;: An improvement to LSB&lt;sup&gt;+&lt;/sup&gt; steganography

Ghazanfari, Kazem; Ghaemmaghami, Shahrokh; Khosravi, Saeed R.

doi:10.1109/tencon.2011.6129126

Cited by 24 publications

(14 citation statements)

References 5 publications

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“…Dr. V. Vijayalakshmi, Dr. G. Zayaraz and V. Nagaraj [3] proposed a modulo -based LSB Steganography algorithm taking image as cover image to provide more protection against image steganalysis based on histogram analysis and statistical analysis. Kazem Ghazanfari, Shahrokh Ghaemmaghami and Saeed R. Khosravi [4] proposed an improvement over the LSB + method that embeds some extra bits to make the histogram of the cover image and stego image look similar to resist histogram based image steganalysis by reducing the amount of visual and statistical characteristics of the cover image. Yi-Chun Liao, Chung-Han Chen, Timothy K.Shih and Nick C. Tang [5] proposed a new video steganography technique by applying the adaptive LSB data hiding technique for image over the video and using a 3 dimensional array to store the information about the pixels of the cover image and stego image.…”

Section: Previous Workmentioning

confidence: 99%

Hiding large amount of data using a new approach of video steganography

Paul¹,

Acharya²,

Yadav³

et al. 2013

Confluence 2013: The Next Generation Information Technology Summit (4th International Conference)

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Steganography has become one of the most robust technique to transmit secrete or sensitive information between parties by concealing the information in some file which may appear to be of no importance to any interceptor. In this paper, we have used video file as the cover file and embedded the information in the frames where the scene has changed in the video sequence using the Least Significant Bit (LSB) replacement technique. For additional security we have randomized the pixel positions where the information bits are embedded by generating an indexed based chaotic sequence and arranging the pixel position according to the sequence. The experimental result shows that the original cover video and stego video are visually identical i.e. there is no perceptual difference between the two videos.

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Section: Previous Workmentioning

confidence: 99%

Hiding large amount of data using a new approach of video steganography

Paul¹,

Acharya²,

Yadav³

et al. 2013

Confluence 2013: The Next Generation Information Technology Summit (4th International Conference)

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“…However, LSB+ still affects the image by adding visual artifacts. Kazem proposed better steganography technique called LSB++ that adjusts the histogram with little distortion. The perturbation in LSB++ is carried out with the objective to maintain imperceptibility and connectivity statistics of the cover image.…”

Section: Introductionmentioning

confidence: 99%

Adaptive block‐based pixel value differencing steganography

Hosam

Halima

2016

Security Comm Networks

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Steganography is the science of hiding secure data in digital carriers such as images and videos. Pixel value differencing (PVD) steganography algorithms embed data into images depending on pixel neighborhood differences. We have proposed PVD scheme for embedding secure data into digital images. The image is divided into non‐overlapping 3 × 3 blocks. The block's median pixel is used as a reference for calculating pixel differences. The distance between the minimum and maximum differences are fine tuned for spreading the secure data on a wide range of image regions with high‐intensity fluctuations. The embedding procedure embeds secure data into the content regions with edges and intensity transitions. Texture images provide higher embedding size compared with regular images. The results showed that the proposed algorithm is successfully able to avoid smooth regions in the embedding process. In addition, the proposed algorithm shows better embedding quality compared with the state of the art PVD approaches especially with low‐embedding rates. Copyright © 2016 John Wiley & Sons, Ltd.

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“…It is known as technique of hiding information within other information in such a way that it is hard or even impossible to tell that it is present in covering information. Hiding messages or information techniques are growing at considerable rate [1]. This is largely due to the fear of encryption services getting outlawed and the owners who want unauthorized access to information [2].…”

Section: Introductionmentioning

confidence: 99%

Image Block-based Steganography using Varying Size Approach

Verma¹,

Chawla²

2014

IJCA

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The field of data hiding in digital image processing becomes important as the use of public networks such as the Internet becomes popular and activities of spam increases. Various methods have been proposed and implemented in data hiding. Steganography is one such way to increase the security of messages over the internet. The least significant is one of the methods used in steganography. While most methods work bit by bit value or pixel by pixel value to hide the data. The one disadvantage of such methods is that there is low percentage of data that can be hidden. In this paper, a new algorithm has been proposed that works on blocks of images that are found same or similar in other image. As in today era, the size of digital images are quite large as compared to images used in early years of digital processing and the images contain randomized pixel having blocks of different sizes and variations in colors. This leads to similarity of block of one image with part of other image of same domain and the same approach is used to hide an image inside another image. In this regard, blocks of hiding image are matched up to maximum size m*n with parts of cover image.

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LSB<sup>++</sup>: An improvement to LSB<sup>+</sup> steganography

Cited by 24 publications

References 5 publications

Hiding large amount of data using a new approach of video steganography

Hiding large amount of data using a new approach of video steganography

Adaptive block‐based pixel value differencing steganography

Image Block-based Steganography using Varying Size Approach

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