Encryption of Video Main Frames in the Field of DCT Transform Using A5/1 and W7 Stream Encryption Algorithms

Bahrami, Saeed; Naderi, Majid

doi:10.1007/s13369-014-1077-8

Cited by 7 publications

(6 citation statements)

References 23 publications

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“…To achieve the goal of video security, the video is categorized into three aspects, which are confidentiality, integrity, and availability [21]. Existing video encryption schemes can achieve integrity and confidentiality, but not many can achieve better usability; this is because many traditional video encryption techniques encrypt the original video into pixel-homogenized snowflake speckles [22][23][24][25], sacrificing the encrypted video's usability, making the technique unsuitable for many video applications that provide features such as video previewing, video categorization, and so on. For example, when users want to download a video that they need from the cloud, they have to decrypt all videos that they have stored before they can find the target video, which wastes a great amount of their time.…”

Section: Introductionmentioning

confidence: 99%

A Visually Meaningful Color-Video Encryption Scheme That Combines Frame Channel Fusion and a Chaotic System

An,

Hao,

et al. 2024

Electronics

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Compared to text and images, video can show information more vividly and intuitively via a moving picture; therefore, video is widely used in all walks of life. However, videos uploaded or stored in various video applications have not been treated with any protection, and these videos contain a lot of sensitive information that is more likely to be compromised. To solve this problem, video encryption schemes have been proposed. However, the main concern with existing video encryption schemes is that the private information in the encrypted video should be effectively protected, and, thus, the pixel distribution of the original video can be greatly damaged in the process of encryption, resulting in no or poor visual usability of the encrypted video. To this end, a novel color-video encryption scheme is proposed, which can effectively protect video privacy information while retaining certain visual information, thus enhancing the usability of encrypted videos. Firstly, the R, G, and B channels of the original color video are viewed as a whole for splitting. The dimensions of the blocks are three-dimensional, and permutation encryption is performed in three-dimensional blocks, which eliminates the redundancy of information between the video frame channels. Secondly, after permutation encryption, the channels of the video frame are separated, and then each channel is divided into blocks. The shape of the blocks is a square, and substitution encryption and permutation encryption operations are performed in turn. The whole encryption process is combined with the 2D-LSM chaotic system to improve the security of the scheme, as well as to reduce the time. Extensive experiments have been carried out, and the results show that the proposed scheme allows the encrypted video to retain rough visual information and, at the same time, effectively protects privacy, achieving the goal of encrypted video security and usability.

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Section: Introductionmentioning

confidence: 99%

A Visually Meaningful Color-Video Encryption Scheme That Combines Frame Channel Fusion and a Chaotic System

An,

Hao,

et al. 2024

Electronics

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“…*Applications for signal processing frequently use discrete orthogonal transforms (DOTs) (Mahmmod et al, 2018;Asli and Flusser, 2017;Bahrami and Naderi, 2014;Tian et al, 2018;Shukla and Sharma, 2018;Usman et al, 2020). Researchers have become interested in the Complex Hadamard Transform (CHT) DOT, to investigate the various field of study by applying the applications of signal and image processing.…”

Section: Introductionmentioning

confidence: 99%

Implementation and analysis of symmetrical signals in the sequency domain

Jabeen,

Monir,

Rafiullah

et al. 2023

Int. j. adv. appl. sci.

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Every transform has unique attributes and traits that are crucial to reducing computing costs and offering simple solutions. Many different frequency domain transformations, for instance, have properties that can be used in a variety of signal processing applications and analyses. Some of the Complex Hadamard Transform's variants' sequencies can be compared to those of the Discrete Fourier Transforms. It is proven the characteristics of the Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform symmetry. These qualities are crucial for signal analysis and image processing. Due to duplicate spectra across the origin, it reduces computational complexity, makes an analytical analysis for symmetric signals simpler, and needs less storage. Its analysis shows that the Discrete Fourier Transform and this Complex Hadamard Transform version exhibit similar symmetry tendencies. By using elementary signals in the time domain to connect the positive and negative sequencies with their associated phasor conceptions, sequency domain spectra are used to highlight these properties. As a result of image representation, relative spectra are represented in related domains. Transform can be used to extract and analyze various aspects from a wide range of medical images.

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“…Large amounts of data are transmitted through the network and more than 50 million servers work on the network over the world. Zettabytes of data are produced each year, which contain a large amount of video data [5] [7]. Video in the national defense, education, monitoring, entertainment and other fields have been widely used, so data security on the internet cannot be ignored.…”

Section: Introductionmentioning

confidence: 99%

“…Encrypting video in the process of video encoding can reduce the amount of data to be encrypted and reduce the complexity of encryption. In [5], the author combines the stream cipher and the video cipher to encrypt the DCT transform coefficients. This method only encrypts the DCT transform coefficients, so it is not safe enough.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Video Encryption Method Based on Faster R-CNN

Duan¹,

Zhang²,

Xu³

et al. 2018

Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

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In order to improve the generalization performance of video encryption and reduce the amount of data in video en-cryption, this paper proposes a video encryption on regions of interest (ROI) method based on Faster R-CNN by combining machine learning with information security. The method trains a Faster R-CNN model using the ROI dataset firstly, and then uses the model to extract ROI in the video. Different encryption algorithms are used to encrypt ROI and non-ROI in the video respectively. To overcome the shortcomings of encryption algorithms that can only be used for a specific coded video, a special video encryption method is proposed to encrypt the video with different video coding structure and has better generalization performance. Compared with the encryption method in the video coding process, this method considers the content information of the video fully and has better performance. It can be concluded through experiments that the encryption method in this paper has the characteristics of higher security and less calculation.

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Encryption of Video Main Frames in the Field of DCT Transform Using A5/1 and W7 Stream Encryption Algorithms

Cited by 7 publications

References 23 publications

A Visually Meaningful Color-Video Encryption Scheme That Combines Frame Channel Fusion and a Chaotic System

A Visually Meaningful Color-Video Encryption Scheme That Combines Frame Channel Fusion and a Chaotic System

Implementation and analysis of symmetrical signals in the sequency domain

A Novel Video Encryption Method Based on Faster R-CNN

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