كيوان قاسمي

There are many methods for transmitting digital information and data, the most important and most widely used of which is digital images. These images can contain a lot of information, there is more information about the inaccessibility of each person and the fact of confidentiality in computer networks. Numerous studies have been conducted on the security of a digital data and specifically on the security of digital images and to increase the security of this type of data in order to prevent their use and theft. With the rapid growth of technology and digital data generation tools, multi-image encryption with high speed and security seems quite feasible and easy. The purpose of this study is to provide a method for image encryption using strands or DNA sequences and three-dimensional logistic turbulence function. High-security encryption with guaranteed encryption features. In the proposed method of this research, the proposed chaotic function encrypts and then the DNA sequence encrypts this code at a higher level, which increases the security of the proposed method. The logistics turbulence function, due to its turbulence mode and at the same time small number, causes high quality and at the same time high speed in cryptography. Image encryption is one of the two main phases of permutation and propagation. In this research, two dimensions of logistic turbulence are used for permutation and propagation simultaneously, which greatly increases the speed of the proposed method. Laboratory results and computer simulations have both confirmed and demonstrated that you are proposing a high quality coding. In the last stage, the resistance of the proposed method to eva‎luation and its performance will be eva‎luated and compared with some existing methods. The results of the comparisons show the high resistance of the proposed method to performance and the entropy is very close to 8.

داده ديجيتالي , رمزنگاري تصوير , تابع آشوب لجستيك , دنباله مولكول زيستي

Digital Data , Image Encryption , Logistics chaos Functions , DNA Sequences

Keyvan Qasemi Koushikolaei

Dr. Javad Vahidi