Extending Multi-MSB Prediction and Huffman Coding for Reversible Data Hiding in Encrypted HDR Images

Tsai, Yuan‐Yu; Liu, Honglin; Kuo, Pei-Lin; Chan, Chi-Shiang

doi:10.1109/access.2022.3171578

Cited by 12 publications

(13 citation statements)

References 28 publications

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“…This approach incorporates the SIPHT compression method to compress the secret data prior to embedding, aiming to reduce the size of the secret data for better concealment. Tsai et al [32]. introduced a novel image steganography algorithm based on the Least Significant Bit (LSB) technique, augmented by Most Significant Bit (MSB) prediction and the Huffman coding method.…”

Section: Steganographymentioning

confidence: 99%

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

Benyahia,

Khobzaoui,

Benbakreti

2024

Braz. J. Technol.

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Transmitting information via a public channel without unauthorized interception is a major concern that leads to the idea of hiding information using cryptographic techniques or obscuring it in a media using steganography algorithms. This article proposes a two-level security image steganography method, (i) using a DNA sequence, the message to be sent is encrypted, (ii) by applying the least significant bits (LSB) technique, this encrypted message is hidden in an image. This combination of DNA-based cryptography and steganography provides two levels of security that ensures confidential transmission, as demonstrated by the experiments conducted.

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Section: Steganographymentioning

confidence: 99%

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

Benyahia,

Khobzaoui,

Benbakreti

2024

Braz. J. Technol.

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“…Tsai et al presented another lsb based image steganography algorithm in light of MSB prediction and Huffman base method. The main objectives of the paper are high payload and secrecy and increase the inserting pace of the mystery message inside the cover picture [37].…”

Section: Summary Of Related Workmentioning

confidence: 99%

A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

Rahman

Uddin

Hussain³

et al. 2023

Preprint

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It is essential in the field of cover steganography to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, robust, and working on the visual quality is the essential factors of this research to make a reliable mechanism. We can’t compromise on image quality up to a confident flat because it halts the concepts of cover steganography while the maximum embedding limit is also the main factor that makes the technique more efficient. So, Image steganography is the state of art method that hides a data inside any cover mediums such as images, videos, texts, audios etc. Steganography is the specialty of implanting a mystery message so that nobody can think of it or no unaided eye can identify it. There is no information on the current information inside the cover object in the wake of encrypting. In the recent couple of years, due to the achievement of accelerated popularity of the internet, various organizations such as government offices, military, private companies etc. use different transferring methods for exchanging their information. The internet has various benefits and a few demerits. The primary bad mark is protection and security and information transmission over an unreliable network. Different cover steganography research strategies have been recommended as of late yet, and each adores its benefits and impediments but, there is the need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, this paper proposed a future method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concept, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The suggested method used an encrypted algorithm to upheld the appearances of the image. The algorithm also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM) etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

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“…Tsai et al presented another LSB-based image steganography algorithm in light of MSB prediction and the Huffman base method. The main objectives of the paper are high payload and secrecy and to increase the inserting pace of the mystery message inside the cover picture 33 .…”

Section: Summary Of the Related Workmentioning

confidence: 99%

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Rahman,

Uddin,

Hussain

et al. 2023

Sci Rep

View full text Add to dashboard Cite

In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

show abstract

Extending Multi-MSB Prediction and Huffman Coding for Reversible Data Hiding in Encrypted HDR Images

Cited by 12 publications

References 28 publications

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

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