Coverless Image Steganography Based on Jigsaw Puzzle Image Generation

Saad, Al-Hussien Seddik; Mohamed, Maryati; Hussam, Eslam

doi:10.32604/cmc.2021.015329

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Saad [10] proposes a coverless image steganography method using jigsaw puzzle image generation using secret message bits. The image is divided into equal rows and columns, creating blocks with tabs/blanks.…”

Section: Related Studiesmentioning

confidence: 99%

“…Such as 01, 00, 10, 00, 01, 00, 10, 01. So based on above cases, the algorithm will marked the B option circle of the first question for first 2bits (01), same as for second 2 bits (00), the algorithm will marked the A option circle of the second question, for thirds 2 bits (10), the algorithm will marked the C option circle of the third question, and so on this process is repeated up to last block. The algorithm will complete the mapping process by solving every answer on the sheet in accordance with the secret message, and the answered/mapped bubble sheet will then be prepared for sharing with the recipient.…”

Section: B Mapping Phasementioning

confidence: 99%

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A high-capacity Coverless Image Steganography Based on OMR and Mapping Rules

Nitin Kanzariya

2024

jes

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Securing private information during its transmission over the internet is of paramount importance, as it safeguards against unauthorized access and guarantees the integrity of data. Steganography serves as a technique for enhancing security by concealing sensitive information within digital content such as images, videos, audio, and textual carriers, thus thwarting unauthorized interception. Current methodologies involve manipulating pixels to create stego-images, effectively embedding confidential messages within the image structure. However, this approach has led to steganalysis experts uncovering these hidden messages. To address this issue, an innovative strategy for covert data concealment is proposed. This paper proposes a robust, secure, and embedding capacity coverless image steganography method using OMR and Mapping Rules. The secret information is represented by a binary string, and the bubble sheet is used to represent binary fragments. This approach ensures the confidentiality of sensitive data communicated over the internet. Notably, this approach surpasses previous alternatives in terms of embedding capacity, as substantiated by result analysis. Furthermore, it is adaptable for refinement as needed. Significantly, it exhibits remarkable resilience, safeguarding against a spectrum of attacks including scaling, color space conversion, JPEG compression, thresholding, "salt and pepper" noise, file format conversion, and steganalysis tools, among others.

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Section: Related Studiesmentioning

confidence: 99%

Section: B Mapping Phasementioning

confidence: 99%

A high-capacity Coverless Image Steganography Based on OMR and Mapping Rules

Nitin Kanzariya

2024

jes

View full text Add to dashboard Cite

show abstract

“…Such as 01, 00, 10, 00, 01, 00, 10, 01. So based on above cases, the algorithm will marked the B option circle of the rst question for rst 2bits (01), same as for second 2 bits (00), the algorithm will marked the A option circle of the second question, for thirds 2 bits (10), the algorithm will marked the C option circle of the third question, and so on this process is repeated up to last block. The algorithm will complete the mapping process by solving every answer on the sheet in accordance with the secret message, and the answered/mapped bubble sheet will then be prepared for sharing with the recipient.…”

Section: Mapping Phase Phasesmentioning

confidence: 99%

A high-capacity Coverless Image Steganography Based on Rule based Machine Learning

KANZARIYA,

Jadhav

2023

Preprint

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Securing private information during its transmission over the internet is of paramount importance, as it safeguards against unauthorized access and guarantees the integrity of data. Steganography serves as a technique for enhancing security by concealing sensitive information within digital content such as images, videos, audio, and textual carriers, thus thwarting unauthorized interception. Current methodologies involve manipulating pixels to create stego-images, effectively embedding confidential messages within the image structure. However, this approach has led to steganalysis experts uncovering these hidden messages. To address this issue, an innovative strategy for covert data concealment is proposed. This method involves integrating the secret message through the establishment of a cover file or secret message mapping. This approach ensures the confidentiality of sensitive data communicated over the internet. This research introduces a novel and highly-capable coverless image steganography technique utilizing RBML-based optical mark recognition. Notably, this approach surpasses previous alternatives in terms of embedding capacity, as substantiated by result analysis. Furthermore, it is adaptable for refinement as needed. Significantly, it exhibits remarkable resilience, safeguarding against a spectrum of attacks including scaling, color space conversion, JPEG compression, thresholding, "salt and pepper" noise, file format conversion, and steganalysis tools, among others.

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“…In the field of information protection information steganography is one of the prominent addresses among researchers who have enriched this field with a lot of research [3]. Information steganography is the science of delivering confidential [4] information to the concerned parties through public channels in a hidden manner that no one can notice or realize and this is achieved by concealing it with a digital medium such as sound, image, video and text [5,6].…”

Section: Introductionmentioning

confidence: 99%

Randomized Information Hiding in RGB Images Using Genetic Algorithm and Huffman Coding

Hussein,

Al Baity,

Hadi

2023

RIA

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Protecting information from manipulation and theft is a top priority as a result of progress in technology and the infrastructure of the multimedia network in addition to the development of illegal methods of obtaining information. One of the means of protecting and preserving information is to hide it in a digital medium. The motivation for introducing such a system is to enhance the security of confidential data by providing ways to protect the data and reduce attempts to attack it. The proposed system contains several steps summarized as follows: The sender side includes firstly the stage of generating hiding locations randomly depending on the genetic algorithm (GA) to generate rows and seed to generate columns. Secondly, the stage of including data after compressing it by the Huffman method. Data embedding depends on the pixel index as an indicator to choose one of the three bands to hide using LSB. The recipient side extracts the important information hiding in the two last rows which helps to extract the data and convert it into the original text. The proposed system gained efficiency and robustness with the help of genetic and Huffman where genetic chooses the best way for hidding among a set of suggested solution in addition to the randomness it possesses. The role of Huffman reduce data size and thus increase the cover capacity. System efficiency has been measured by PSNR through conducting a number of experiments that included using set of texts with different sizes and two types of standard colored cover images.

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Coverless Image Steganography Based on Jigsaw Puzzle Image Generation

Cited by 8 publications

References 14 publications

A high-capacity Coverless Image Steganography Based on OMR and Mapping Rules

A high-capacity Coverless Image Steganography Based on OMR and Mapping Rules

A high-capacity Coverless Image Steganography Based on Rule based Machine Learning

Randomized Information Hiding in RGB Images Using Genetic Algorithm and Huffman Coding

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