Image Steganography Technique Based on Integer Wavelet Transform Using Most Significant Bit Categories

doi:10.22266/ijies2022.0228.45

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In their publication cited as [5], Nisreen I. R. Yassin and colleagues presented an image steganography approach. This method combines the IWT with a scheme focused on categorizing the Most Significant Bit (MSB).…”

Section: (Vii) Randomized Techniquesmentioning

confidence: 99%

“…[1] 2020 IWT, PSO PSNR=51.1468 SSIM=0.9982 QI=0.9999 [2] 2022 IWT, GA PSNR=62.04 SSIM=0.9977 [3] 2021 IWT, Fractal Encryption PSNR=53.869 SSIM=0.9846 [4] 2021 IWT, Cyclic Chaos system, Neural Network PSNR=58.432 SSIM=0.9954 [5] 2022 IWT, MSB PSNR=60.866 MSE=0.053 AD=0.0430 [6] 2023 IWT, GA PSNR=62.57 SSIM=0.9861 CC=0.9865 [7] 2020…”

Section: Ref Year Image Steganography Technique Metricsmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Approach to Image Steganography: A Fusion of Chaotic and Genetic Algorithms for Unbreakable Data Hiding

Thangaraju,

2024

Preprint

View full text Add to dashboard Cite

Image steganography comprises concealing sensitive data inside digital images to ensure secure communication. In this work, a ground-breaking method for image steganography is introduced, which fuses chaotic and genetic algorithms, aiming to create a strong and impenetrable data concealment technique. The study applies Integer Wavelet Transform (IWT) to the image and services logistic map chaotic system to produce pseudo-random sequences. These sequences take a significant in identifying the most secure positions within the image to embed confidential message bits. This embedding process is highly secure and resilient against statistical attacks. Moreover, a genetic algorithm optimizes this process, bolstering the security of the steganography approach. Using a population-based search technique, the genetic algorithm efficiently explores the search space, identifying the optimal chromosome representation for data embedding. This significantly enhances the embedding capacity while minimizing distortion to the original image. Through extensive experimental evaluations and performance analyses, the study showcases the effectiveness and resilience of this proposed approach. The findings highlight that combining chaotic and genetic algorithms in image steganography markedly improves security, capacity, and resistance to attacks when compared to traditional methods. This steganographic scheme achieved a PSNR of 55.3392 dB, a MSE of 0.3620, a SSIM of 0.9744, and a VIF of 0.9269. Additionally, the work demonstrated a hidden information capacity of 3.67 bits per pixel (BPP).

show abstract

Section: (Vii) Randomized Techniquesmentioning

confidence: 99%

Section: Ref Year Image Steganography Technique Metricsmentioning

confidence: 99%

A Novel Approach to Image Steganography: A Fusion of Chaotic and Genetic Algorithms for Unbreakable Data Hiding

Thangaraju,

2024

Preprint

View full text Add to dashboard Cite

show abstract

A Comprehensive Study of Digital Image Steganographic Techniques

et al. 2023

View full text Add to dashboard Cite

Steganography surpasses other mechanisms of securing data from potential threats. The modern digital arena calls for robust information hiding techniques and, thus, it has always been a flash point for researchers and academicians. Nowadays, transmission is susceptible to numerous hacks while sharing secret information through typical correspondence channel. Accordingly, everybody needs the classification, respectability, and realness of his or her privileged information. Particularly, different techniques are used to take on these security issues like advanced declaration, computerized mark, and cryptography. Nevertheless, these strategies alone cannot be negotiated. Steganography is a revolution where current information compression, data hypothesis, spread range, and cryptography advancements are integrated to meet the requirements for protection of data over the Internet. This study investigates and critically analyses various existing cover steganography techniques and identifies the valuable region that everyone can be benefited. Moreover, we present a comprehensive overview of the fundamental concepts with in the domain of the steganographic methods and steganalysis. These systems have been depicted in numerous areas of the steganography such as spatial space, transform domain, and adaptive space. Moreover, each space has its particular traits. A few regularly involved techniques for improving the steganographic security and upgrading steganalysis capacity are elaborated, summed up; and conceivable examination patterns are talked about. We also systematically separate different methodologies in our review and show their pros and cons, qualities, challenges and significance.INDEX TERMS Steganography, data concealing, cover objects, image quality assessment metrics.

show abstract

An Investigation of Image Security and Image Steganography Techniques

Thangaraju,

Asokan

2023

2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC)

View full text Add to dashboard Cite

Image Steganography Technique Based on Integer Wavelet Transform Using Most Significant Bit Categories

Cited by 4 publications

References 18 publications

A Novel Approach to Image Steganography: A Fusion of Chaotic and Genetic Algorithms for Unbreakable Data Hiding

A Novel Approach to Image Steganography: A Fusion of Chaotic and Genetic Algorithms for Unbreakable Data Hiding

A Comprehensive Study of Digital Image Steganographic Techniques

An Investigation of Image Security and Image Steganography Techniques

Contact Info

Product

Resources

About