A Secure Image Steganography Technique to Hide Multiple Secret Images

Hemalatha, S.; Acharya, Dinesh U; Renuka, A.; Kamath, Priya R.

doi:10.1007/978-1-4614-6154-8_60

Cited by 10 publications

(13 citation statements)

References 7 publications

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“…The authors in (Hemalatha et al, 2013) achieve an embedding capacity of 1.33 bpp while we achieve an embedding capacity of 4 bpp. When comparing the stegoimage and the corresponding cover image, (Hemalatha et al, 2013) achieve a PSNR value of 44.75 dB while we achieve a PSNR value of 39.83 dB. This is again considered acceptable because of the reason discussed above.…”

Section: Referencementioning

confidence: 84%

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SABMIS: Sparse approximation based blind multi-image steganography scheme

Agrawal¹,

Ahuja²,

Steinbach³

et al. 2021

Preprint

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Steganography is a technique of hiding secret data in some unsuspected cover media so that it is visually imperceptible. The secret data as well as the cover media may be text or multimedia. Image steganography, where the cover media is an image, is one of the most commonly used schemes. Here, we focus on image steganography where the hidden data is also an image. Specifically, we embed grayscale secret images into a grayscale cover image, which is considered to be a challenging problem. Our goal is to develop a steganography scheme with enhanced embedding capacity while preserving the visual quality of the stego-image and ensuring that the stego-image is resistant to steganographic attacks. Our proposed scheme involves use of sparse approximation and our novel embedding rule, which helps to increase the embedding capacity and adds a layer of security. The stego-image is constructed by using the Alternating Direction Method of Multipliers (ADMM) to solve the Least Absolute Shrinkage and Selection Operator (LASSO) formulation of the underlying minimization problem. This method has a fast convergence, is easy to implement, and also is extensively used in image processing. Finally, the secret images are extracted from the constructed stego-image using the reverse of our embedding rule. Using these components together helps us to embed up to four secret images into one cover image (instead of the common embedding of two secret images) and forms our most novel contribution. We term our scheme SABMIS (Sparse Approximation Blind Multi-Image Steganography). We perform extensive experiments on several standard images, and evaluate the embedding capacity, Peak Signal-to-Noise Ratio (PSNR) value, mean Structural Similarity (MSSIM) index, Normalized Cross-Correlation (NCC) coefficients, entropy, and Normalized Absolute Error (NAE). We obtain embedding capacities of 2 bpp (bits per pixel), 4 bpp, 6 bpp, and 8 bpp while embedding one, two, three, and four secret images, respectively. These embedding capacities are higher than all the embedding capacities obtained in the literature until now. Further, there is very little deterioration in the quality of the stego-image as compared to its corresponding cover image (measured by above metrics). The quality of the original secret images and their corresponding extracted secret images is also almost the same. Further, due to our algorithmic design, our scheme is resistant to steganographic attacks as well.

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Section: Referencementioning

confidence: 84%

“…For the case of embedding two secret images in a cover image, we compare with (Hemalatha et al, 2013). Here, two grayscale images are embedded into a color cover image.…”

Section: Referencementioning

confidence: 99%

SABMIS: Sparse approximation based blind multi-image steganography scheme

Agrawal¹,

Ahuja²,

Steinbach³

et al. 2021

Preprint

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“…• LL sub band of Cb is used to hide one secret image and LL sub band of Cr is used to hide another secret image. Then the two keys K1 and K2 corresponding to two secret images are obtained using the same procedure used in our previous work [16] as described in section 2. • The two keys are then encrypted using simple exclusive or operation with a key and run length encoded and then hidden in the cover image using IWT as follows: o Find the integer wavelet transform of Cb component of the cover image.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The proposed work is the modification of our previous work [16] in which the secret images are transmitted without actually embedding in the cover image. Only the keys are hidden in the cover image.…”

Section: Related Workmentioning

confidence: 99%

A Secure and High Capacity Image Steganography Technique

Hemalatha¹,

Acharya²,

Renuka³

et al. 2013

SIPIJ

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Steganography is the science of "invisible" communication. The purpose of Steganography is to maintain secret communication between two parties. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique to hide multiple secret images and keys in color cover image using Integer Wavelet Transform (IWT). There is no visual difference between the stego image and the cover image. The extracted secret images are also similar to the original secret images. Very good PSNR (Peak Signal to Noise Ratio) values are obtained for both stego and extracted secret images. The results are compared with the results of other techniques, where single image is hidden and it is found that the proposed technique is simple and gives better PSNR values than others.

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“…In this method estimated hidden image is extracted which is not look like original hidden image. In [15] author presented a steganography approach based on DWT in which more than one secret image are embedded in one cover image. In [16], presented high capacity LSB based steganography utilizing distributed approach making stego-images stronger against several steganalysis attacks as decomposed secret information are equitably distributed among various cover images file making it harder to decide its reality, however this approach does not use appropriate scheme to reassemble circulated images.…”

Section: Related Workmentioning

confidence: 99%

High Capacity Steganography Protected using Shamir’s Threshold Scheme and Permutation Framework

2019

IJITEE

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This paper presents a framework that conceal large volume of secret information using distributed file system that permit implantation of decomposed secret images across multiple-cover images. The strong security is imposed utilizing Shamir’s threshold scheme and permutation generator framework. Three layers of security is being applied to protect the secret information, in first, secret image is decomposed into equal size of smaller sub-images and generate a framework of permutations from an integer for distributing and reassembling the circulated broken secret sub images among the intended participants. At the time of embedding purpose of permutation generator is to arrange the sub-images in unknown order for outsider. During the discloser stage only inverse of permutation can rearrange the distributed sub-images to reassemble into original image by authorized contributors. In second, Shamir’s threshold scheme is designed for authentication of shared associated stego-cover images before starting the extraction process. This process provides an extremely secured construction of shared secret information. In third, image is divided in 2x2 blocks of pixels and traverses it in zig-zag manner; the pixel value difference is computed for all Red, Green, and Blue (RGB) components between non-overlapping pixels of selected diagonal path with in targeted block. Secret bits are concealed inside RGB color pixels of cover image by utilizing proposed novel pixel-value differencing (PVD) scheme, furthermore varying embedding capacity may be obtained by controlling the selection of number of 2x2 block. Exploratory result displays that the proposed approach provides productive algorithms in term multilayer unbreakable security and higher payload of embedded information.

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A Secure Image Steganography Technique to Hide Multiple Secret Images

Cited by 10 publications

References 7 publications

SABMIS: Sparse approximation based blind multi-image steganography scheme

SABMIS: Sparse approximation based blind multi-image steganography scheme

A Secure and High Capacity Image Steganography Technique

High Capacity Steganography Protected using Shamir’s Threshold Scheme and Permutation Framework

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