Parallelizable cipher of color image based on two-dimensional chaotic system

Abstract

This paper aims to present a parallel implementation based color image encryption using non -linear chaotic system. The adopted chaotic system was suggested and approved in our previous work [1] which generates key streams with chaotic behavior. In this paper, pixel level permutation algorithm based on chaotic map generation is investigated and analyzed. The encryption–decryption schemes are achieved in parallel and composed of three main phases: chaotic keys generation, pixel-level permutation and bit-level diffusion phase. Both permutation and diffusion processes are achieved according to the chaotic keys. The parallel implementation of the proposed image encryption system is realized and inspired with parallel computing library offered by Matlab 2018, which equips highly performance than the pipeline ones and would be helpful to utilize in image encryption/decryption for real time application. Security and statistical analysis in addition to the main differential attacks analysis are specified to evaluate the performance of the proposed image encryption algorithm with parallel implementation. From the experimental results, the output image of the encryption task shows a higher randomness of the encrypted image which can be effectively resistant to attacker. Furthermore, the run time of encryption process is faster than other research works.

Improved vigenere using affine functions surrounded by two genetic crossovers for image encryption

“…Table 4 illustrates a comparison between our approach and some similar approaches. This comparison proves that our approach is significantly better than the other compared algorithms [21], [24]- [30]. This validates the resistance of our cryptosystem to differential attacks.…”

“…This verifies the security of our cryptosystem against statistical attacks. Table 3 illustrates a comparison between our approach and some similar approaches [21], [23], [24]. These results validate the resistance of our cryptosystem to statistical attacks.…”

“…Original image Encrypted image Horizontal Vertical Diagonal Horizontal Vertical Diagonal Lena Red 0,95580 0,96480 0,93220 -0,00376 0,00815 -0,00131 Green 0,93556 0,95756 0,91902 -0,00298 0,00912 -0,00673 Blue 0,90773 0,93930 0,89130 -0,00145 -0,00672 0,00064 Apricot Red 0,98385 0,96944 0,98629 -0,00137 -0,00188 -0,00541 Green 0,97883 0,98511 0,96537 -0,00107 0,00150 0,00234 Blue 0,99153 0,98348 0,98724 0,00489 -0,00571 -0,00118 Panda Red 0,95175 0,96552 0,93161 0,00513 -0,00077 -0,00495 Green 0,95215 0,96436 0,93066 0,00788 -0,00080 0,00027 Blue 0,95542 0,97086 0,94265 0,00007 0,01097 -0,00106 -0,0029883 0,0091357 -0,0067375 [23] -0,0042707 -0,0032498 -0,0020192 [24] -0,0098 -0,0050 -0,0013…”

Novel lightweight video encryption method based on ChaCha20 stream cipher and hybrid chaotic map

“…In [32], the practical mobile traffic had been designed based on utilized the deep learning as a viable strategy. This classifier was proposed to extract the features automatically and it has capability to deal with encrypted traffic, then reflecting their complex patter of traffic, while in [33]- [36], multi classifier have been proposed for mobile application traffic based on different approaches for instance Markov modeling, capture, and ground-truth creation. Finally, the general comparisons of the previous video encryption schemes that demonstrated in the literature are illustrated in Table 1.…”

A new pseudorandom bits generator based on a 2D-chaotic system and diffusion property

“…Also, sharing on the data communication network is one of the main security challenge [2]. Consequently, the main goal of security is to protect the vital information from illegal interception, tampering and distribution over the networks without authorised access [3], [4]. Ensuring that information is secure has become very important in several fields, such as medical imaging, internet communication, military communication, telemedicine, and multimedia systems.…”