Introduction to Steganography in RRNS based Communications

Belhamra, Mohamed Amine; Mamoun, Souidi El

doi:10.1145/3320326.3320353

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…The save (s 1 ) and carry (c 1 ) from the summation in CSA1 are further computed using CPA3 to obtain the third MRD, ϑ 3 in Equation 12. Equations (17) and (18) are obtained by a concatenation process requiring no hardware, and finally the results of Equations (18) and (19) are computed using CPA4 in order to get the binary number X as in Equation 20. The area complexity of this architecture is (7n−4) FA comprising of three (n − 1)-bits full adders (i.e.…”

Section: B Implementation Of the Proposed Schemementioning

confidence: 99%

“…The proposed scheme combines steganography with cryptography; therefore, any attacker would have to apply tools of steganalysis and cryptanalysis in order to discover the existence of message within the stego image and/or discover the scrambled text or image. Most of these attacks are subjective, which makes use of human eye or statistical methods, where mathematical analysis are performed in order to find statistical differences between the altered and non-altered messages, [19]. From the above analysis outlined in Section IV, it is obvious that it will be nearly impossible to notice differences in the stego and original or similarities in the encrypted and original images using either subjective or statistical methods.…”

Section: G Security Analysis Of the Proposed Schemementioning

confidence: 99%

“…It investigated the multiple approaches of steganography for images, and argued that compression in the frequency domain algorithms are appropriate for effectively hiding text within images without perceptibility. In [19] also, a scheme using Redundant Residue Numbers System (RRNS) codes were employed in steganography. The scheme in [20] discussed the exploration in the use of the operators of GA on a cover medium on text such that hidden data will not be perceptible to any attacker.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

Baagyere

Agbedemnab²,

Qin

et al. 2020

IEEE Access

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Over the years, Steganography and Cryptography have been complementary techniques for enforcing security of digital data. The need for the development of robust multi-layered schemes to counter the exponential grow in the power of computing devices that can compromise security is critical in the design and implementation of security systems. Therefore, we propose a new combined steganographic and cryptographic scheme using the operators of genetic algorithm (GA) such selection, crossover and mutation, and some properties of the residue number system (RNS) with an appropriate fusing technique in order to embed encrypted text within images. The proposed scheme was tested using MatLab R R2017b and a CORE TM i7 processor. Simulation results show that the proposed scheme can be deployed at one level with only the stego image containing the encrypted hidden message and at another level where the stego message is further encrypted. An analysis based on standard key metrics such as visual perception and statistical methods on steganalysis and cryptanalysis show that the proposed scheme is robust, is not complex with reduced runtime and will consume less power due to the use of residue numbers when compared to similar existing schemes.

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Section: B Implementation Of the Proposed Schemementioning

confidence: 99%

Section: G Security Analysis Of the Proposed Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

Baagyere

Agbedemnab²,

Qin

et al. 2020

IEEE Access

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Steganography over Redundant Residue Number System Codes

Belhamra

Souidi

2020

Journal of Information Security and Applications

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A Novel Hybrid Method for Effective Identification and Extraction of Digital Evidence Masked by Steganographic Techniques in WAV and MP3 Files

Ghane,

Uribarri,

Djemai

et al. 2023

JISCR

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Anti-forensics techniques, particularly steganography and cryptography, have become increasingly pressing issues affecting current digital forensics practices. This paper advances the automation of hidden evidence extraction in audio files by proposing a novel multi-approach method. This method facilitates the correlation between unprocessed artefacts, indexed and live forensics analysis, and traditional steganographic and cryptographic detection techniques. In this work, we opted for experimental research methodology in the form of a quantitative analysis of the efficiency of the proposed automation in detecting and extracting hidden artefacts in WAV and MP3 audio files. This comparison is made against standard industry systems. This work advances the current automation in extracting evidence hidden by cryptographic and steganographic techniques during forensic investigations. The proposed multi-approach demonstrates a clear enhancement in terms of coverage and accuracy, notably on large audio files (MP3 and WAV), where manual forensic analysis is complex, time-consuming and requires significant expertise. Nonetheless, the proposed multi-approach automation may occasionally produce false positives (detecting steganography where none exists) or false negatives (failing to detect steganography that is present). However, it strikes a good balance between efficiently and effectively detecting hidden evidence, minimising false negatives and validating its reliability.

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Introduction to Steganography in RRNS based Communications

Cited by 3 publications

References 24 publications

A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

Steganography over Redundant Residue Number System Codes

A Novel Hybrid Method for Effective Identification and Extraction of Digital Evidence Masked by Steganographic Techniques in WAV and MP3 Files

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