An ECC/DCT-Based Robust Video Steganography Algorithm for Secure Data Communication

Mstafa, Ramadhan J.; Elleithy, Khaled

doi:10.13052/jcsm2245-1439.531

Cited by 16 publications

(3 citation statements)

References 37 publications

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“…Thus, the proposed method was evaluated and compared with state-of-the-art approaches using two metrics, namely embedding capacity and imperceptibility. Embedding capacity refers to the maximum amount of information that can be hidden inside the cover video [27], [48], which is measured in bits-per-pixel (bpp) and calculated as in Eq. (9).…”

Section: B Evaluation Metricsmentioning

confidence: 99%

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

et al. 2020

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Recent developments in the speed of the Internet and information technology have made the rapid exchange of multimedia information possible. However, these developments in technology lead to violations of information security and private information. Digital steganography provides the ability to protect private information that has become essential in the current Internet age. Among all digital media, digital video has become of interest to many researchers due to its high capacity for hiding sensitive data. Numerous video steganography methods have recently been proposed to prevent secret data from being stolen. Nevertheless, these methods have multiple issues related to visual imperceptibly, robustness, and embedding capacity. To tackle these issues, this paper proposes a new approach to video steganography based on the corner point principle and LSBs algorithm. The proposed method first uses Shi-Tomasi algorithm to detect regions of corner points within the cover video frames. Then, it uses 4-LSBs algorithm to hide confidential data inside the identified corner points. Besides, before the embedding process, the proposed method encrypts confidential data using Arnold's cat map method to boost the security level. Experimental results revealed that the proposed method is highly secure and highly invisible, in addition to its satisfactory robustness against Salt & Pepper noise, Speckle noise, and Gaussian noise attacks, which has an average Structural Similarity Index (SSIM) of more than 0.81. Moreover, the results showed that the proposed method outperforms state-of-the-art methods in terms of visual imperceptibility, which offers excellent peak signalto-noise ratio (PSNR) of average 60.7 dB, maintaining excellent embedding capacity.

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Section: B Evaluation Metricsmentioning

confidence: 99%

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

et al. 2020

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“…The first type embeds messages in pixels. The second type embeds data by modifying compressed domain parameters, such as Motion Vectors (MVs) [2][3][4][5][6], quantized DCT coefficients [7][8][9][10][11], partition modes [12], Quantization Parameters (QPs) [13] or prediction modes [14][15][16][17]. Since videos are transmitted mostly in compressed format, the second type is more practical.…”

Section: Introductionmentioning

confidence: 99%

A HEVC Steganalysis Algorithm Based on Relationship of Adjacent Intra Prediction Modes

Shi

Sun

2022

Digital Forensics and Watermarking

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Currently, many High Efficiency Video Coding (HEVC) video steganography algorithms based on Intra Prediction Mode (IPM) have been proposed. However, the existing IPM-based video steganalysis algorithms are almost designed for H.264/AVC videos, without considering the unique coding techniques in HEVC, which is the latest video codec standard. Thus, it is of significant value to study IPM-based steganalysis for HEVC videos. In this paper, the general process of IPM-based HEVC steganography is modelled for the first time, and we find that the basic distortion existing in the change of the relationships between each embedded IPM and the adjacent IPMs. By exploiting these weaknesses, we propose a novel IPM steganalysis algorithm based on the Relationship of Adjacent IPMs (RoAIPM) feature. In detail, the RoAIPM is extracted by generating different directional Gray-Level Co-occurrence Matrixes (GLCMs) and texture characteristics of three refilled matrixes: MPM-IPM matrix, Left-IPM matrix and Up-IPM matrix. Experimental results show that, the proposed RoAIPM feature is very sensitive to the little change introduced by IPM-based steganography. Regardless of whether the feature is after 2 dimension reduction or not, in various coding conditions, the proposed steganalysis can both present a well higher detection accuracy against the latest IPM-based HEVC steganography methods and achieve the lowest computational complexity compared with the state-of-the-art works.

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“…Pada penelitian tersebut menghasilkan rata-rata PSNR 53.73 dB dan MSE 0.0443. Penelitian tersebut juga menyebutkan bahwa algoritma mencapai kapasitas penyisipan yang lebih tinggi serta daya tembus yang lebih baik dengan menggunakan media video stego[6].…”

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Implementasi Steganografi Video dengan Menggunakan Metode Egypt, Least Significant Bit (LSB) dan Least Significant Bit (LSB) Fibonacci Edge Pixel

Pradita¹,

Nurhaida²

2020

InComTech

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Seiring dengan perkembangan teknologi 5G, penyebaran dengan menggunakan video semakin besar dan mudah. Penyebaran informasi baik yang tersembunyi atau tidak semakin mudah disebarluaskan dengan menggunakan internet. Steganografi adalah cara menyembunyikan informasi dalam image atau video. Steganografi berbentuk digital image, text, audio, video, 3D model, dan lain-lain. Media digital yang popularitasnya paling tinggi dalam penelitian algoritma steganografi dengan menggunakan media digital image. Tulisan ini menggunakan media digital video karna media penelitian sebelumnya menggunakan media digital image. Pada tulisan ini akan diulas dan dianalis tentang video steganografi dengan menggunakan metode Egypt, Least Significant Bit (LSB), dan Least Significant Bit (LSB) Fibonacci Edge Pixel. Analisis video steganografi ini bertujuan untuk mendeteksi video yang mengandung unsur pesan rahasia yang kemungkinan untuk pengintaian. Hasil Peak Signal-to-Noise Ratio (PSNR) yang didapat dari penelitian ini rata-rata 40.46 dB dan menghasilkan rata-rata presentase similarity 30.67 %. Rata-rata Mean Square Error (MSE) pada penelitian ini adalah sebesar 0.50657. Untuk metode yang paling optimal yang digunakan dalam video steganografi adalah dengan menggunakan Metode Egypt.

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An ECC/DCT-Based Robust Video Steganography Algorithm for Secure Data Communication

Cited by 16 publications

References 37 publications

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

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

A HEVC Steganalysis Algorithm Based on Relationship of Adjacent Intra Prediction Modes

Implementasi Steganografi Video dengan Menggunakan Metode Egypt, Least Significant Bit (LSB) dan Least Significant Bit (LSB) Fibonacci Edge Pixel

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