A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector

Mstafa, Ramadhan J.; Younis, Younis Mohammed; Hussein, Haval I.; Atto, Muhsin

doi:10.1109/access.2020.3021356

Cited by 42 publications

(23 citation statements)

References 45 publications

(70 reference statements)

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“…Compared to the average PSNR rate in [36,40,41], this is an improvement of 3.11, 16.42, and 0.036 dBs. Despite the fact that the technique described in [42] is superior, the proposed method still has a highest total number of embedded bits.…”

Section: Comparisons With Other Approachesmentioning

confidence: 96%

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Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem

Mstafa¹

2022

Computers, Materials &Amp; Continua

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The rapid transmission of multimedia information has been achieved mainly by recent advancements in the Internet's speed and information technology. In spite of this, advancements in technology have resulted in breaches of privacy and data security. When it comes to protecting private information in today's Internet era, digital steganography is vital. Many academics are interested in digital video because it has a great capability for concealing important data. There have been a vast number of video steganography solutions developed lately to guard against the theft of confidential data. The visual imperceptibility, robustness, and embedding capacity of these approaches are all challenges that must be addressed. In this paper, a novel solution to reversible video steganography based on Discrete Wavelet Transform (DWT) and Quick Response (QR) codes is proposed to address these concerns. In order to increase the security level of the suggested method, an enhanced ElGamal cryptosystem has also been proposed. Prior to the embedding stage, the suggested method uses the modified ElGamal algorithm to encrypt secret QR codes. Concurrently, it applies two-dimensional DWT on the Y-component of each video frame resulting in Approximation (LL), Horizontal (LH), Vertical (HL), and Diagonal (HH) sub-bands. Then, the encrypted Low (L), Medium (M), Quantile (Q), and High (H) QR codes are embedded into the HL sub-band, HH sub-band, U-component, and V-component of video frames, respectively, using the Least Significant Bit (LSB) technique. As a consequence of extensive testing of the approach, it was shown to be very secure and highly invisible, as well as highly resistant to attacks from Salt & Pepper, Gaussian, Poisson, and Speckle noises, which has an average Structural Similarity Index (SSIM) of more than 0.91. Aside from visual imperceptibility, the suggested method exceeds current methods in terms of Peak Signal-to-Noise Ratio (PSNR) average of 52.143 dB, and embedding capacity 1 bpp.

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Section: Comparisons With Other Approachesmentioning

confidence: 96%

“…In this section, the perceptual invisibility and embedding capacity of the suggested method were compared with the existing methods from the literature. It was decided to compare PSNR rates of the suggested approach with those of the methods in [36,[40][41][42]. Tab.…”

Section: Comparisons With Other Approachesmentioning

confidence: 99%

Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem

Mstafa¹

2022

Computers, Materials &Amp; Continua

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“…Experimental results showed the robustness and efficiency of this method even in the presence of varying illumination conditions. One limitation is the increased dependency on the camera resolution, as the accuracy was reduced on low-resolution videos [37][38][39].…”

Section: Unmanned Aerial System (Uas)-based Approachmentioning

confidence: 99%

Image-Based Crack Detection Methods: A Review

et al. 2021

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Annually, millions of dollars are spent to carry out defect detection in key infrastructure including roads, bridges, and buildings. The aftermath of natural disasters like floods and earthquakes leads to severe damage to the urban infrastructure. Maintenance operations that follow for the damaged infrastructure often involve a visual inspection and assessment of their state to ensure their functional and physical integrity. Such damage may appear in the form of minor or major cracks, which gradually spread, leading to ultimate collapse or destruction of the structure. Crack detection is a very laborious task if performed via manual visual inspection. Many infrastructure elements need to be checked regularly and it is therefore not feasible as it will require significant human resources. This may also result in cases where cracks go undetected. A need, therefore, exists for performing automatic defect detection in infrastructure to ensure its effectiveness and reliability. Using image processing techniques, the captured or scanned images of the infrastructure parts can be analyzed to identify any possible defects. Apart from image processing, machine learning methods are being increasingly applied to ensure better performance outcomes and robustness in crack detection. This paper provides a review of image-based crack detection techniques which implement image processing and/or machine learning. A total of 30 research articles have been collected for the review which is published in top tier journals and conferences in the past decade. A comprehensive analysis and comparison of these methods are performed to highlight the most promising automated approaches for crack detection.

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“…The parametric transform inherits all the features of classical one. This parametric form of Arnold transform is extensively utilized in many security applications [27][28][29][30][31][32]. This discrete transform have been utilized in the proposed work to make possible search within search space of 8x8 Sbox.…”

Section: ) Mod(mentioning

confidence: 99%

Block Cipher Nonlinear Confusion Components Based on New 5-D Hyperchaotic System

et al. 2021

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The security strengths of block ciphers greatly rely on the confusion components which have the tendency to transform the data nonlinearly into the perplexed form. This paper proposes to put forward a novel scheme of generating cryptographically strong nonlinear confusion components of block ciphers, usually termed as substitution-boxes (S-boxes). The anticipated S-box design scheme is based on a novel five-dimensional (5-D) chaotic system analyzed in this paper. The proposed 5-D dynamical system consists of hyperchaotic phenomenon, KY dimension, conservativity, unstable equilibrium point, and complex phase attractors which are suited for cryptographic applications. The S-box based on hyperchaotic system is made to evolve in order to generate an optimized S-box for high nonlinearity score to make it robust against many linear attacks. The performance analysis of proposed S-box demonstrates that it has bijectivity, high nonlinearity; satisfied strict avalanche criterion and bits independent criterion; low differential and linear probabilities. Moreover, performance appraisal of proposed S-box against existing S-box studies justifies its better strength and features over many recently investigated S-boxes.

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A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector

Cited by 42 publications

References 45 publications

Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem

Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem

Image-Based Crack Detection Methods: A Review

Block Cipher Nonlinear Confusion Components Based on New 5-D Hyperchaotic System

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