Improvement of Image Steganography Scheme Based on LSB Value with Two Control Random Parameters and Multi-level Encryption

Mahdi, Mohammed Hashim; Abdulrazzaq, Ali Abdulwahhab; Rahim, Mohd Shafry Mohd; Taha, Mustafa Sabah; Khalid, Hiyam N.; Lafta, Sameer A. S.

doi:10.1088/1757-899x/518/5/052002

Cited by 14 publications

(8 citation statements)

References 33 publications

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“…Multi-Level Encryption (MLE) is used for proposed algorithm having different encryption operations to improve the security and give hardness to the attackers [57][58]. It is used on secret data before embedding to the cover object or image for increasing security using some XOR operation to make the message unrecoverable for any assailants.…”

Section: Table 2 Notations Used In Proposed Algorithmmentioning

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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Section: Table 2 Notations Used In Proposed Algorithmmentioning

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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“…Furthermore, this technique is based on deep data hiding and extraction algorithm working on a multi-channel (MCDHEA). This algorithm is the extended version of the old techniques such as multi-level steganography (MLS) ( Mahdi et al, 2019 ), deep data hiding and extraction algorithm (DHEA) ( Elshare & EL-Emam, 2018 ), and improved deep data hiding and extraction (IDHEA) ( Ahmad, El-Emam & AL-Azawi, 2021 ). The proposed algorithm (MCDHEA) has been implemented in two phases.…”

Section: The Suggested Hiding and Extraction Algorithmmentioning

confidence: 99%

New deep data hiding and extraction algorithm using multi-channel with multi-level to improve data security and payload capacity

Hardan¹,

Alawneh²,

El-Emam³

2022

PeerJ Computer Science

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The main challenge in steganography algorithms is balancing between the size of the secret message (SM) that is embedded in the cover image (CI) and the quality of the stego-image (SI). This manuscript proposes a new steganography algorithm to hide a large amount of secret messages in cover images with a high degree of non-perception in the resulting images. The proposed algorithm applied a multi-channel deep data hiding and extraction algorithm (MCDHEA) based on a modified multi-level steganography (MLS) approach. This approach used a new modification of the least significant bits (NMLSB) to make it hard to extract a secret message from attackers. The secret message was distributed among n-blocks; each block was hidden into a sub-channel that included multi-level hiding and flows into the main channel. Different grayscale images were used through the levels of each sub-channel and using the color image in the last level of the main channel. The image size of the multi-level was expanded from one level to the next level, and at each level, lossless image compression using the Huffman coding algorithm was applied to enable the size of the data hiding at the next level. In addition, the encryption of secret messages and intermediate cover images based on the XOR encryption algorithm is applied before the hiding process. Finally, the number of bits to be replaced at each level for both sub and main channels was four bits per byte except at the last level of the main channel based on a new approach using a non-uniform number of bits replacements. This algorithm’s performance was evaluated using various measures. The results show that the proposed technique is effective and better than the previous works concerning imperceptibility and robustness. Furthermore, the results show that the maximum peak signal-to-noise ratio (PSNR) of 61.2 dB for the payload of 18,750 bytes, the maximum video information fidelity (VIF) of 0.95 for the payload of 19,660 bytes, and the maximum structural similarity index measure (SSIM) of 0.999 for the payload of 294,912 bytes.

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“…In the pursuit of heightened data security, researchers have advocated for the use of extensive keys within various cryptographic algorithms. While an enlarged key size is synonymous with fortified data protection, the complexity inherent in key management cannot be overlooked [6]. The RSA algorithm, a cornerstone in public-key cryptography, was introduced to the public domain in 1978 and represents a significant advancement in the field [7].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Key Exchange Security: Leveraging RSA Protocol in Encryption Algorithm Based on Hyperchaotic System

Shnaen,

Mehdi

2023

IJSSE

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This investigation delineates an innovative approach to fortify the secure key exchange process by integrating the robustness of the RSA algorithm with the unpredictability of a chaotic system, thereby advancing the security framework for color image encryption. Within this scheme, encryption keys are derived from a chaotic system, the initial conditions of which are dynamically modulated by the delta feature extracted from the source image. Such a design ensures that the system's behavior inherently adapts to the input image. The initial values and parameters governing the five-dimensional chaotic system are securely transmitted from sender to recipient via the RSA algorithm. Subsequently, diffusion and confusion processes are orchestrated through the application of two uniquely computed key matrices, which operate on the image at the column and row levels, respectively. This mechanism is instrumental in altering pixel values throughout the image. Performance evaluation of the proposed algorithm is quantified by several metrics: a high Number of Pixels Change Rate (NPCR) value of 99.621% illustrates its efficacy in pixel value modification, while a Peak Signal-to-Noise Ratio (PSNR) value of 8.898 implies the retention of image quality post-encryption. Furthermore, an Unified Average Changing Intensity (UACI) value of 33.823% signifies the algorithm's proficiency in introducing substantial variations in pixel intensities. The results corroborate the algorithm's competency in encrypting color images, underpinning its utility in diverse applications that necessitate stringent data and image protection measures against unauthorized access.

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Improvement of Image Steganography Scheme Based on LSB Value with Two Control Random Parameters and Multi-level Encryption

Cited by 14 publications

References 33 publications

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

New deep data hiding and extraction algorithm using multi-channel with multi-level to improve data security and payload capacity

Enhancing Key Exchange Security: Leveraging RSA Protocol in Encryption Algorithm Based on Hyperchaotic System

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