A New Approach for Data Hiding with LSB Steganography

Prashanti, G.; Sandhyarani, K.

doi:10.1007/978-3-319-13731-5_46

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…In Sahu & Swain (2020) , a study of LSB image steganographic recent advances were conducted to improve steganographic performance, such as resilience, integration capacity, and the ability to find secret knowledge. In Prashanti & Sandhyarani (2015) , the authors propose two strategies; the first strategy involves using data or hidden messages in the Image, while the second involves inserting a secret grey image within another grey image. The four-state table, which generates pseudorandom numbers, is employed for these strategies.…”

Section: Related Workmentioning

confidence: 99%

An efficient and secure technique for image steganography using a hash function

Nezami

Ali

Asif

et al. 2022

PeerJ Computer Science

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Steganography is a technique in which a person hides information in digital media. The message sent by this technique is so secret that other people cannot even imagine the information’s existence. This article entails developing a mechanism for communicating one-on-one with individuals by concealing information from the rest of the group. Based on their availability, digital images are the most suited components for use as transmitters when compared to other objects available on the internet. The proposed technique encrypts a message within an image. There are several steganographic techniques for hiding hidden information in photographs, some of which are more difficult than others, and each has its strengths and weaknesses. The encryption mechanism employed may have different requirements depending on the application. For example, certain applications may require complete invisibility of the key information, while others may require the concealment of a larger secret message. In this research, we proposed a technique that converts plain text to ciphertext and encodes it in a picture using up to the four least significant bit (LSB) based on a hash function. The LSBs of the image pixel values are used to substitute pieces of text. Human eyes cannot predict the variation between the initial Image and the resulting image since only the LSBs are modified. The proposed technique is compared with state-of-the-art techniques. The results reveal that the proposed technique outperforms the existing techniques concerning security and efficiency with adequate MSE and PSNR.

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Section: Related Workmentioning

confidence: 99%

An efficient and secure technique for image steganography using a hash function

Nezami

Ali

Asif

et al. 2022

PeerJ Computer Science

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“…Then, according to majority principle, each element is evaluated and the value that is repeated more times is used to reconstruct the coded signal W ′ c . Finally, W ′ c are decoded by BCH (15,7,2), resulting in the recovered watermark W ′ . Table 2 shows only the summary of the extraction process.…”

Section: Watermark Extractionmentioning

confidence: 99%

“…For ACAI, we found that the optimal parameters are given by ∆ = 24 , BCH (15,7,2) and repetition code (1,3). Figure 4 shows the comparison of the watermarked anaglyphs with the original ones performing no attacks at different values for ∆ .…”

Section: Parameter Selectionmentioning

confidence: 99%

“…). The resulting vector W v is divided into blocks of size k , and each block is coded (W c ) using BCH (15,7,2). Finally, a repetition code is used in such a way that each element of…”

Section: Watermark Codificationmentioning

confidence: 99%

“…On the one hand, the embedding techniques in spatial domain are faster and simpler in comparison with the frequency domain methods. An example of this approach can be observed in the techniques based on least significant bit [7], where the watermark is embedded directly into the pixels of the host images. However, the principal drawback of this technique is the lack of robustness against different image processing attacks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Invisible watermarking framework that authenticates and prevents thevisualization of anaglyph images for copyright protection

Munoz-Ramirez¹,

Ponomaryov²,

Reyes-Reyes³

et al. 2019

Turk J Elec Eng & Comp Sci

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In this work, a watermarking framework to authenticate and protect the copyright that prevents the visualization of nonauthorized anaglyph images is proposed. Designed scheme embeds a binary watermark and the Blue channel of the anaglyph image into the discrete cosine transform domain of the original image. The proposed method applies the quantization index modulation-dither modulation algorithm and a combination of Bose-Chaudhuri-Hocquenghem with repetition codes, which permit to increase the capability in recovering the watermark. Additionally, Hash algorithm is used to scramble the component where the watermark should be embedding, guaranteeing a higher security performance of the scheme. This new technique prevents the visualization of 3D content to unauthorized users. Additionally, its high robustness against the most common image processing attacks, such as JPEG compression, impulsive and Gaussian noises, etc. has been demonstrated in this study.

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