An Improved RDWT-based Image Steganography Scheme with QR Decomposition and Double Entropy

Ng, Ke-Huey; Liew, Siau-Chuin; Ernawan, Ferda

doi:10.14569/ijacsa.2020.0110327

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…The false-positive problem produced by SVD is eliminated via QR factorization. For any real matrix M, there is an orthogonal matrix Q and an upper triangular matrix R, such that [29]:…”

Section: Qr Factorizationmentioning

confidence: 99%

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

et al. 2022

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Internet simplified digital data transferring. This data needs to be secured; so securing digital data becomes an important concern. Steganography provides security for data by inserting it into a cover and concealing it. In this paper, a steganography algorithm was introduced. This algorithm used the stationary wavelet transform (SWT) and اhybrid-matrix decomposition techniques, singular value decomposition (SVD) and QR factorization to conceal a video in another video. The algorithm performance was measured with reference to the peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) for the cover and the secret videos. The algorithm successfully hid a video in another cover video and both are of the same size; the hiding capacity was 100%. The algorithm achieved a SSIM that reached 0.97 and a high PSNR value that reached 68.8 proving that the imperceptibility of the proposed algorithm is very high. The comparative analysis shows that the suggested algorithm achieved higher imperceptibility than the other state-of-the-art algorithms regarding the average PSNR. The enhanced version of the proposed method was more robust against different types of attacks.

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“…The false-positive problem produced by SVD is eliminated via QR factorization. For any real matrix M, there is an orthogonal matrix Q and an upper triangular matrix R, such that [29]:…”

Section: Qr Factorizationmentioning

confidence: 99%

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

et al. 2022

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show abstract

“…The entropy method has been used in many applications such that malware detection [4], lung sound classification [5], gender violence classification [6], Arabic text classification [7], image steganography [8], and sediments quality evaluation [9].…”

Section: Introductionmentioning

confidence: 99%

A Fast Multicore-based Window Entropy Algorithm

Shokr¹,

Bahig²

2022

IJACSA

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Malware analysis is a major challenge in cybersecurity due to the regular appearance of new malware and its effect in cyberspace. The existing tools for malware analysis enable reverse engineering to understand the origin, purpose, attributes, and potential consequences of malicious software. An entropy method is one of the techniques used to analyze and detect malware, which is defined as a measure of information encoded in a series of values based upon the probability of those values appearing. The window entropy algorithm is one of the methods that can be applied to calculate entropy values in an effective manner. However, it requires a significant amount of time when the size of the file is large. In this paper, we solve this problem in two ways. The first way of improvement is determining the best window size that leads to minimizing the running time of the window entropy algorithm. The second way of improvement is by parallelizing the window entropy algorithm on a multicore system. The experimental studies using artificial data show that the improved sequential algorithm can reduce the window entropy method's running time by 79% on an average. Also, the proposed parallel algorithm outperforms the modified sequential algorithm by 77% and has super-linear speed up.

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Strengthening wavelet based image steganography using Rubik’s cube segmentation and secret image scrambling

Khandelwal,

Sharma

2024

Multimed Tools Appl

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An Improved RDWT-based Image Steganography Scheme with QR Decomposition and Double Entropy

Cited by 5 publications

References 13 publications

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

A Fast Multicore-based Window Entropy Algorithm

Strengthening wavelet based image steganography using Rubik’s cube segmentation and secret image scrambling

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