Chaos Based Encryption Technique for Compressed H264/AVC Videos

El-Mowafy, M.A.; Gharghory, Sawsan Morkos; Abo-Elsoud, M.A.; Obayya, Marwa; Allah, M. I. Fath

doi:10.1109/access.2022.3223355

Cited by 7 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Brute force attacks are the most direct way to break a cryptosystem, and criminals often use all possible keys to break a cryptosystem. Generally, when the key space is larger than 2 100 , the algorithm is sufficient to resist violent attacks [33]. The key of this scheme mainly includes the external key EK, the initial value x(0) of 1D-SCS obtained by BPPAKG mechanism, the parameters r, µ, the initial value x 1 (0) and y 1 (0) of 2D-LTMM, the parameters a and b, and the random numbers X, Y and Z.…”

Section: B Key Space Analysismentioning

confidence: 99%

A Self-Adaptive Image Encryption Scheme Based on Chaos and Gravitation Model

et al. 2023

View full text Add to dashboard Cite

In order to improve the security of image transmission, this paper proposes a self-adaptive image encryption scheme based on chaos and gravitation model. The proposed scheme consists of three stages: key generation stage, double scrambling stage, and double diffusion stage. In the key generation stage, the plaintext-associated key generation mechanism (BPPAKG) based on the bit plane is used to obtain the key associated with the plaintext. Since the key ultimately depends on the plaintext image itself, this scheme has self-adaptability. The first stage of scrambling uses mixed chaotic transform and shift row transform to disturb pixel position, then changes the pixel value of the image based on the concept of gravitation to achieve the first stage of diffusion. To enhance the security performance of the scheme, the traditional encryption structure is extended, and the second stage of scrambling and diffusion is quickly realized by using diagonal scanning transform and XOR operation. Simulation and experimental results show that the scheme has good encryption and decryption performance and strong resistance to attack. In addition, compared with some latest proposed algorithms, it has better security.

show abstract

Section: B Key Space Analysismentioning

confidence: 99%

A Self-Adaptive Image Encryption Scheme Based on Chaos and Gravitation Model

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Before and after the median filter, calculate the peak signal-tonoise ratio (PSNR), signal-to-noise ratio (SNR), mean square error (MSE), and correlation coefficient of the frame with salt and pepper noise as shown in Table 6. The proposed scheme performs better compared with the existing chaotic maps in [1,19]. • Effect of Gaussian noise: The nature of this noise model is additive [34] and it has a Gaussian distribution.…”

Section: Noise and Attacksmentioning

confidence: 99%

“…H.264/AVC advanced video coding is a popular format for coded video and one of the most recent video compression standards. It can enhance the video compression efficiency, allowing for greater flexibility in storing and transferring videos when compared to Moving Picture Experts Groups [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Even symmetric chaotic and skewed maps as a technique in video encryption

El-den

Raslan

Abdullah

2023

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

The massive growth and use of digital multimedia through computer networks, including video and images, have increased the demand for protecting this digital data. To secure digital video, video encryption is frequently utilized. In this paper, a brand-new video scrambling technique based on two chaotic linearly symmetric maps and one chaotic tent map that has been twisted is suggested. The permutation procedure moves every frame pixel's position using a P-box created by permuting a linearly symmetric chaotic sequence. The diffusion technique employs both linearly symmetric chaos maps and distorted tent maps to create key streams. The keystream closely resembles simple frames because the pixels in the permuted frame indicate which of the two even symmetric chaos maps is replicated each time for the following byte. The information entropy, histogram, neighboring pixel correlation and sensitivity analysis, number of pixels changing regions (NPCR), and unified mean change intensity are used to thoroughly evaluate the recommended method's capacity to improve performance and security (UACI). Comparatively to other methods, the suggested algorithm is resistant to clipping, salt and pepper noise, speckle noise rotation assaults, and clipping. This positive outcome indicates that the plan can be successfully implemented for secure video communication applications.

show abstract