Encryption Algorithm of Multiple-Image Using Mixed Image Elements and Two Dimensional Chaotic Economic Map

mentioning

confidence: 99%

Entropy in Image Analysis

Sparavigna

2019

“…With the increased availability of smart mobile devices and the popularity of internet, considerable attention has been paid to the secure and efficient transmission of high-dimensional information, such as images and videos. Because of their cryptographic-favored characteristics, various chaotic maps haven been applied to developed encryption systems for images [ 18 , 19 ]. Therefore, how to design secure and efficient JCAE schemes for high-dimensional media data is one of our future research direction, for sure.…”

Section: Discussionmentioning

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.

“…In the past three decades, many novel image encryption schemes based on various methodologies were proposed, such as chaos theory [ 6 ], DNA computing [ 7 ], cellular automaton [ 8 , 9 ], and quantum information [ 9 , 10 ]. Among them, chaos is the most popular one because it has the unique characteristics of sensitivity to initial values and parameters, ergodicity, and deterministic inherent randomness [ 11 , 12 , 13 , 14 , 15 , 16 ], which correspond to the confusion and diffusion properties of encryption [ 17 ]. Moreover, DNA computing has the characteristics of high parallelism, large storage capacity, and low energy consumption [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Breaking an Image Encryption Algorithm Based on DNA Encoding and Spatiotemporal Chaos

Wen

Lü

2019

Recently, an image encryption algorithm based on DNA encoding and spatiotemporal chaos (IEA-DESC) was proposed. In IEA-DESC, pixel diffusion, DNA encoding, DNA-base permutation and DNA decoding are performed successively to generate cipher-images from the plain-images. Some security analyses and simulation results are given to prove that it can withstand various common attacks. However, in this paper, it is found that IEA-DESC has some inherent security defects as follows: (1) the pixel diffusion is invalid for attackers from the perspective of cryptanalysis; (2) the combination of DNA encoding and DNA decoding is equivalent to bitwise complement; (3) the DNA-base permutation is actually a fixed position shuffling operation for quaternary elements, which has been proved to be insecure. In summary, IEA-DESC is essentially a combination of a fixed DNA-base position permutation and bitwise complement. Therefore, IEA-DESC can be equivalently represented as simplified form, and its security solely depends on the equivalent secret key. So the equivalent secret key of IEA-DESC can be recovered using chosen-plaintext attack and chosen-ciphertext attack, respectively. Theoretical analysis and experimental results show that the two attack methods are both effective and efficient.