A review on video steganography techniques in spatial domain

Disha,; Saini, Khushil Kumar

doi:10.1109/rdcape.2017.8358298

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…The two primary categories of steganography techniques are spatial domain and frequency domain techniques. When processing an image in the frequency domain, the data is concealed on the altered coefficients after the image has been converted in the spatial domain [13]. LSB, PVD, EBE, RPE, PMM, and Pixel intensity based are a few examples of spatial domain techniques.…”

Section: Introductionmentioning

confidence: 99%

High Security and Robustness Image Steganography Based On Ant Colony Optimization Algorithms and Discrete Cosine Transform

Shihab Ahmed,

Ali Salah

2023

JEPS

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Steganography, which is the science of delivering a message between parties in a way that an eavesdropper will not be aware that the message exists, is one of the key disciplines that have a considerable interest in fields. The suggested method seeks to conceal a smaller color image within a larger color image. It utilizes the transform domain throughout the steganography process to increase its resistance to changes and treatments made to the cover image. In order to achieve both complexity security and robustness, the project seeks to implement and utilize two techniques: ant colony optimization and transformation domain approach. The technologies under consideration suggest a Steganography method for digital photographs. It employs Discrete Cosine Transform (DCT) to achieve the same aims in terms of security, transparency and robustness. Additionally, it makes use of Once an Ant Colony Optimization (ACO) to increase robustness against signal processing attacks and imperceptibility in accordance with the human visual system. This work implements ACO for the cover to find the embedding locations on the graph path, and then finds locations to hide information based on threshold method, when looking for places to hide information blocks, DCT uses an intelligent block matching technique between the embedded image and the cover image, and both systems were tested against each other to compare their performance. Six stages make up the proposed secret key steganography system: test, transform, key creation and substitution, ant colony optimization, matching, inverse transform, and key encryption and concealing.

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Section: Introductionmentioning

confidence: 99%

High Security and Robustness Image Steganography Based On Ant Colony Optimization Algorithms and Discrete Cosine Transform

Shihab Ahmed,

Ali Salah

2023

JEPS

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“…In the spatial domain techniques, the cover frames pixels are directly used to embed the secret message [4]. Many steganography techniques, such as least significant bit (LSB) substitution, pixel value differencing (PVD), spread spectrum, region of interest (ROI), histogram manipulation, most significant bit (MSB), and quantization index modulation (QIM), rely on the spatial domain for hiding [5]. In the transform domain, the cover frames pixels are used in the frequency domain.…”

Section: Introductionmentioning

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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“…Key many communication, whereas in steganography secret message can be understood by only receiver and this is one to one communication[7,16].…”

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confidence: 99%

Enhancement of Data Security using Video Steganography

Kaur¹,

Singh²

2018

IJCA

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Steganography is an approach used to transfer secret information by updating data carrying medium i.e video, audio, text file in an imperceptible manner and is a manner of masking secret data in ways that prevents revealing of hidden messages. By using steganography secure data transmission over internet could be achieved. Video files are generally a batch of still images. So, most of the techniques used for images and audio can also be applied in video steganography. The main advantage of video stream is amount of data they carry that cannot be easily detectable. Above all, it is a moving sequence of still pictures. The internet provides a method of communication to distribute information to the masses. With the growth of data communication over computer network, the security of information has become a major issue. Steganography and cryptography are two different data hiding techniques. Cryptography, on the other hand obscures the content of the message. In this research work a high capacity data embedding approach is developed by the combining two approaches LSB and DWT.

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A review on video steganography techniques in spatial domain

Cited by 4 publications

References 9 publications

High Security and Robustness Image Steganography Based On Ant Colony Optimization Algorithms and Discrete Cosine Transform

High Security and Robustness Image Steganography Based On Ant Colony Optimization Algorithms and Discrete Cosine Transform

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

Enhancement of Data Security using Video Steganography

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