A Systematic Review of Computational Image Steganography Approaches

Kaur, Sharanpreet; Singh, Sarva Jit; Kaur, Manjit; Lee, Heung-No

doi:10.1007/s11831-022-09749-0

Cited by 23 publications

(12 citation statements)

References 111 publications

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“…Apart from the frequency distribution, another additional piece of data extracted was the proportionate occurrence of every letter with respect to Q (the least frequent letter) as elucidated in figure [12].…”

Section: Extraction Of Datasetmentioning

confidence: 99%

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A Novel M-Log Chaos Method for Enhanced Security Blended with Pristine d-Hybrid LSB Approach for Reducing Image Degradation Hinged on Huffman Compression of English Text for Payload Improvement

Raghuvanshi

Joshi

Nandal

et al. 2023

Preprint

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Pretext & Motivations: Spatial domain-based image steganography is the stowing away technique in which disguised data is hidden directly inside the pixel intensities of an unclassified image. After a systematic literature review based on the PRISMA framework, it was realized that no single disquisition has covered all three acreages together i.e., improved payload capacity, augmented security, and reduced image degradation. Chaotic method was restricted to be used as fodder for searching techniques or diffusion of disguised data within the CI. In the proffered approach, a novel use of chaotic function as bombs that can be used to guard the real message is explored. Proffered Method: The proffered method can be divided into two parts: Insertion of secret text (Huffman compression + novel M-Log chaos bombs embedding + d-Hybrid 3-LSB) and extracting the recondite message out (diffusing chaos bombs + decompressing the message). Results: Efficient developments were achieved by the proffered method in all three acreages i.e., Payload improvement of 40%, mean PSNR of 45.8981 and mean SSIM of 0.9931, and 32% image degradation reduction. Conclusion and Future Scope: The proposed method used Huffman compression to clinch the up-scaled payload. Chaotic function values, along with a modulus function, were used to feed into a novel bomb generator equation [ ], which fosters locus for stashing chaos bombs in any image. When triggered by the attacker, these bombs caused permanent marring of recondite data, denying the intruder access to disguised information. As an additional element, image degradation caused was reduced by the pristine d-hybrid method. For future studies, the use of multidimensional chaotic functions and different searching techniques for identifying ideal locations for stashing chaos bombs can be explored.

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Section: Extraction Of Datasetmentioning

confidence: 99%

“…SSIM Figure 34: L2RAT values for all the images included in this disquisitionMean: Mean value for both the CI and SI is compared in this part for the steganalysis of the proposed procedure. Mean values for all the images used in this disquisition are depicted in table[12] and figure[35] …”

mentioning

confidence: 99%

A Novel M-Log Chaos Method for Enhanced Security Blended with Pristine d-Hybrid LSB Approach for Reducing Image Degradation Hinged on Huffman Compression of English Text for Payload Improvement

Raghuvanshi

Joshi

Nandal

et al. 2023

Preprint

Self Cite

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“…Furthermore, image steganography uses image as cover object and inserts the secret information using different reported methods such as spatial domain, frequency domains etc. The extensive surveys of the image steganography are presented in [10][11][12][13][14]. Every existing method has their advantages and disadvantages in terms of payload, security, perception, temper protection, and computation which are the basic criteria of steganography as well as the basic needs for any steganographic methods shown in Fig.…”

Section: Intrucductionmentioning

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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“…When comparing the proposed system results with existing methods, the results were convincing as shown in Table 1. The previous methods depend on one principle, which is the embedding in the places of the LSB, which is a rather easy to predict method, as in [43]. Many traditional methods take care of increasing security and this is at the expense of the amount of data embedded because a single pixel can accommodate a specified number of bits to maintain the imperceptibility of the image [44].…”

Section: Related Studymentioning

confidence: 99%

Hiding text using the least significant bit technique to improve cover image in the steganography system

Halboos

Al-Bakry

2022

Bulletin EEI

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One of the highest priorities in the era of information technology is to achieve an accurate and effective system for hiding security data. One of the goals of steganography is imperceptability to intruder. So this paper work to increase the imperceptibility on image, which has weaknesses in previous studies, as well as to avoid statistical attacks such as chi-square. A method has been proposed that includes calculating the color contrasts in the homogeneous areas of the image and dividing them according to the color contrast and exploiting the data of pixels that have a high impact to embed on the two first and third bits of least significant bit (LSB) to increase the amount of embedded data, impact regions (IR) classify according to selected features extracted in advance by using the support vector machine (SVM) classifier. Work was done on standard images taken from a standard dataset (USC-SIPI) for two types of gray and color images. The results showed the worth of the proposed method through a high peak signal to noise ratio (PSNR) that reached 89.5 dB due to the distribution of data on pixels according to the proposed method

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A Systematic Review of Computational Image Steganography Approaches

Cited by 23 publications

References 111 publications

A Novel M-Log Chaos Method for Enhanced Security Blended with Pristine d-Hybrid LSB Approach for Reducing Image Degradation Hinged on Huffman Compression of English Text for Payload Improvement

A Novel M-Log Chaos Method for Enhanced Security Blended with Pristine d-Hybrid LSB Approach for Reducing Image Degradation Hinged on Huffman Compression of English Text for Payload Improvement

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

Hiding text using the least significant bit technique to improve cover image in the steganography system

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