A Review in Use of 4D Hyper chaotic Systems and DNA for Image Encryption

Abstract

 Recently, the color image encryption technique using the chaotic system and DNA bases has
attracted great interest from the research community.The current research presents a study in an efficient method
for color image encryption by using Hyper-chaotic Lorenz system with Hyper-chaotic Rösler system and DNA
coding. Where the Secure Hashing Algorithm-256/384 was presented first, due to the need for chaotic systems to
have initial values (primary key), which are obtained using this hashing function.Then the study presented the use
of Hyper-chaotic Lorenz system and its chaotic sequences generated, as it turns the normal color image into a
distorted image. By mixing the three components (red, green and blue) of the color image. Finally, the use of a
combination of methods to encode mixed components is shown to achieve significant randomness, Hyper-chaotic
Rösler system is shown as well as XOR operations are applied between image DNA components and DNA
sequences that are generated on the basis of Hyper-chaotic Rösler system. then decode the DNA components of the
image; Thus, the final encoded image is generated. The use of these methods of encryption is more efficient when
compared to the previous many color image encryption algorithms, as these methods are safer for attacks, and this
was proven by studying the histogram (graph) in addition to the use of DNA and its characteristics, the most
important of which is DNA encryption additional technique. It has characteristics, such as wide parallelism and
large storage capacity, which make it a very promising field and thus use DNA and messy functions will provide
image protection in an efficient way. Messy maps and DNA technology are two of the most popular topics
currently used in image coding, in combination or separately. These two technologies have good security features
and can be used to secure digital images. Chaotic systems' sensitive initial conditions, unpredictable and nonperiodic ideal statistics, and other attributes enable them to build secure cryptographic systems. Numerous
beneficial properties of computational parallel DNA computing have been discovered on a large scale, less power
loss, and a large amount of storage space. This is what this study sought to find an encryption technology that
maintains a high level of strength against encryption attacks