A Simple Chaotic Map-Based Image Encryption System Using Both Plaintext Related Permutation and Diffusion

Color image encryption has enticed a lot of attention in recent years. Many authors proposed a chaotic system-based encryption algorithms for that purpose. However, due to the shortcomings of the low dimensional chaotic systems, similar rule structure for RGB channels, and the small keyspace, many of those were cryptanalyzed by chosen-plaintext or other well-known attacks. A Security vulnerability exists because of the same method being applied over the RGB channels. This paper aims to introduce a new three-channel three rules (3C3R) image encryption algorithm along with two novel mathematical models for DNA rule generator and bit inversion. A different rule structure was applied in the different RGB-channels. In the R-channel, a novel Block-based Bit Inversion (BBI) is introduced, in the G-channel Von-Neumann (VN) and Rotated Von-Neumann (RVN)- based 2D-cellular structure is applied. In the B-channel, a novel bidirectional State Machine-based DNA rule generator (SM-DNA) is introduced. Simulations and results show that the proposed 3C3R encryption algorithm is robust against all well-known attacks particularly for the known-plaintext attacks, statistical attacks, brute-force attacks, differential attacks, and occlusion attacks, etc. Also, unlike earlier encryption algorithms, the 3C3R has no security vulnerability.

Section: Pixel Correlation Analysismentioning

confidence: 89%

3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

Khan

Han

Mudassir

et al. 2019

“…Chaos theory is widely used in the encryption of information because of its particular properties [ 1 , 2 , 3 ], such as the high sensitivity to initial conditions, ergodicity, randomness, and topology complexity, among others [ 4 , 5 , 6 , 7 ]. For instance, numerous works related to the encryption of information using methods with chaotic and hyperchaotic models have been reported in [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the method reported by [ 73 ] is used for the encryption of information using multiple-precision arithmetic [ 83 ]. The Python programming language [ 84 ] is used to process several significant decimals higher than that reported in the works [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 16 , 17 , 18 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ] and which are based on the IEEE 754 standard [ 54 ], typically used in computers and FPGAs. It is important to emphasize that Python is a scientific programming language [ 84 ] with the following advantages: open-source, free license, an...…”

Section: Introductionmentioning

confidence: 99%

Implementing a Chaotic Cryptosystem by Performing Parallel Computing on Embedded Systems with Multiprocessors

Flores-Vergara

Inzunza-González²,

García-Guerrero³

et al. 2019

Profiling and parallel computing techniques in a cluster of six embedded systems with multiprocessors are introduced herein to implement a chaotic cryptosystem for digital color images. The proposed encryption method is based on stream encryption using a pseudo-random number generator with high-precision arithmetic and data processing in parallel with collective communication. The profiling and parallel computing techniques allow discovery of the optimal number of processors that are necessary to improve the efficiency of the cryptosystem. That is, the processing speed improves the time for generating chaotic sequences and execution of the encryption algorithm. In addition, the high numerical precision reduces the digital degradation in a chaotic system and increases the security levels of the cryptosystem. The security analysis confirms that the proposed cryptosystem is secure and robust against different attacks that have been widely reported in the literature. Accordingly, we highlight that the proposed encryption method is potentially feasible to be implemented in practical applications, such as modern telecommunication devices employing multiprocessors, e.g., smart phones, tablets, and in any embedded system with multi-core hardware.

“…The prominent properties of chaotic systems, such as sensitive to initial conditions, topologically mixing, and having dense periodic orbits, are ideal for building cryptography schemes [ 6 ]. Moreover, chaotic maps are iterative formulas, which in comparison to continuous time chaotic systems, are not required to establish the correct step size and numerical method to implement them in digital hardware, as demonstrated in [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes

Tsai

Wang

2019

In this work, three techniques for enhancing various chaos-based joint compression and encryption (JCAE) schemes are proposed. They respectively improved the execution time, compression ratio, and estimation accuracy of three different chaos-based JCAE schemes. The first uses auxiliary data structures to significantly accelerate an existing chaos-based JCAE scheme. The second solves the problem of huge multidimensional lookup table overheads by sieving out a small number of important sub-tables. The third increases the accuracy of frequency distribution estimations, used for compressing streaming data, by weighting symbols in the plaintext stream according to their positions in the stream. Finally, two modified JCAE schemes leveraging the above three techniques are obtained, one applicable to static files and the other working for streaming data. Experimental results show that the proposed schemes do run faster and generate smaller files than existing JCAE schemes, which verified the effectiveness of the three newly proposed techniques.