Privacy Preserving Data Mining Research: Current Status and Key Issues

Wu, Xiaodan; Chu, Chao-Hsien; Wang, Yunfeng; Liu, Fengli; Yue, Dianmin

doi:10.1007/978-3-540-72588-6_125

Cited by 61 publications

(63 citation statements)

References 24 publications

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“…Lower MSE values and higher PSNR values are indicative of good quality of stego images. It is hard for any human being to perceive any difference between the cover image and the stego-image if the PSNR value of the stego-image goes beyond 36 dB [14]. PSNR is given by the equation (5) The hiding capacity (H.C.) is calculated for each cover image.…”

Section: Resultsmentioning

confidence: 99%

A High Capacity Secured Image Steganography Method with Five Pixel Pair Differencing and LSB Substitution

Gulve¹,

Joshi²

2015

IJIGSP

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Abstract-Most of the steganography techniques, based on pixel value difference, use the difference between the pixel values to hide the information. In this paper, an algorithm is proposed which combines the LSB and PVD steganography techniques to provide high data hiding capacity with acceptable stego image quality. Instead of using the original difference to hide the information, the difference is revised before it is used for hiding the information. This introduces an additional layer of security for the secret information. The algorithm divides the cover image in the blocks of 2  3 pixels. One of the pixels in the block is used as common pixel, which forms five pixel pairs with remaining five pixels in the block. The algorithm hides three secret bits in the common pixel using the LSB substitution method and then use the PVD based approach to hide data in five pixel pairs in each block. The algorithm determines the average (N) of the number of bits that can be hidden in the block. If the difference value allows M-bits to be hidden in the pair, then bits ≤ N are hidden in that pair. The result shows that the algorithm provides higher hiding capacity with better PSNR values as compared to other methods investigated in this study.

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Section: Resultsmentioning

confidence: 99%

A High Capacity Secured Image Steganography Method with Five Pixel Pair Differencing and LSB Substitution

Gulve¹,

Joshi²

2015

IJIGSP

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“…In this case secret data is hidden in one of the sub-bands which are obtained by performing the DWT on whole image and not only to cropped region. The performance of the proposed technique is evaluated according to two widely used aspects [8]:…”

Section: Implementation and Results Analysismentioning

confidence: 99%

Biometrics based Steganography using Circular Folding in DWT Domain

Santhi¹,

N²

2013

IJCA

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Steganography is the art and science of hiding or embedding data in a transmission medium. The goal of steganography is to hide an information message inside a harmless cover medium in such a way that it is not possible even to detect that there is a secret message. In this paper, the object oriented steganography is based on biometrics. Data is embedded into some regions of the skin and not to the whole region. To separate the skin and non-skin regions, skin tone detection is performed using HSV color space. To increase the security, cropping and circular folding is performed on the B plane of the cover image. The secret data is embedded into the high frequency sub-band coefficients of DWT domain. Because human eyes are less sensitive in this sub-band, security is improved. In this paper, we analyze both cropping and noncropping cases. This results into more security with cropping than without cropping with almost same PSNR.

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“…Given a grayscale image as the cover image to hide secret data in, it is hard for any human being to perceive any difference between the cover image and the stego-image if the PSNR value of the stego-image goes beyond 36 dB [18]. PSNR is given by the equation ( where I 1 and I 2 represents cover image and stego image respectively.…”

Section: Lennatiffmentioning

confidence: 99%

An Image Steganography Algorithm with Five Pixel Pair Differencing and Gray Code Conversion

K¹,

S²

2014

IJIGSP

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-Steganography involves hiding information in another media. PVD based steganography techniques uses the difference between the pixel values of a pair directly to hide the information. The proposed steganography system modifies the difference value before being used for hiding the information. This makes extraction of hidden data harder in case the steganography system fails. The algorithm divides the cover image in the block of 2 x 3 pixels and calculates average (N) of the bits that can be hidden in five pairs of that block. Thus if the difference value allows M-bits to be hidden in the pair, then only N-bits are hidden in that pair when M >N otherwise M (if M≤N) bits are hidden in that pair. Second level of security is added by converting the secret information into gray code before embedding it in the cover image. The algorithm provides good hiding capacity and improved quality of stego image with two levels of security for the secret information.

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Privacy Preserving Data Mining Research: Current Status and Key Issues

Cited by 61 publications

References 24 publications

A High Capacity Secured Image Steganography Method with Five Pixel Pair Differencing and LSB Substitution

A High Capacity Secured Image Steganography Method with Five Pixel Pair Differencing and LSB Substitution

Biometrics based Steganography using Circular Folding in DWT Domain

An Image Steganography Algorithm with Five Pixel Pair Differencing and Gray Code Conversion

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