In recent years, the advancement of digital technology has led to an increase in data transmission on the Internet. Security of images is one of the biggest concern of many researchers. Therefore, numerous algorithms have been presented for image encryption. An efficient encryption algorithm should have high security and low search time along with high complexity. DNA encryption is one of the fastest emerging technologies performing based on the concepts of DNA computing and can be used for data storage and transfer. Very high speed and minimum memory and power requirements in the DNA calculations are of the advantages of this new encryption algorithm. In this study, a new encryption algorithm has been proposed for grayscale digital images using DNA algorithm and lattice map function. In the first step, the initial value of the Logistic Map function has been obtained from a 120-bit key using the proposed method, then in the second stage, the original image was encrypted with the Lattice Map function sequence using the logistic map function sequence generated in the previous step and the DNA rules. The results of the simulations showed a high level of resistance and security against statistical attacks, so that the entropy of the proposed method was obtained as 7.9996. Manuscript profile

Encryption is an important issue in information security which is usually provided using a reversible mathematical model. Digital image as a most frequently used digital product needs special encryption algorithms. This paper presents a new encryption algorithm high security for digital gray images using genetic algorithm and Lattice Map function. At the first the initial value of Logistic Map function from a 120 bits key is offered, and then by using the produced chaos series moves original picture pixels. In third step, the original image with Lattice Map function series create by sequence of Logistic Map function from latest level to encrypt the image. This process goes under evolution through the generation of the genetic algorithm until the algorithm converges to an encrypted image with a highest entropy and lowest correlation coefficient among pixels. The results reveal the highest level of resistance and security against statistical attacks. With obtained entropy results from the proposed method were 7.9993 which shows its proficiency compared to the counterpart methods. Manuscript profile