Design an‎d Optimization of a Chaos-Based Image Encryption Algorithm Suitable for Mobile Devices

3/5/2024 12:00:00 AM

Nowadays, with the remarkable advancement of technology an‎d the widespread use of the Internet, individuals’ personal information is more exposed to threats than ever before. One of the most important methods for securing such information is encryption, which is currently used in almost all computer systems. On the other han‎d, technological progress has led to computer systems becoming smaller an‎d smaller. One of the major challenges in designing low-power, compact processors is preventing overheating, which is usually achieved by imposing computational limitations on these systems. One of the greatest challenges in maintaining data security on such devices is the development of algorithms that, in addition to ensuring information security, are capable of encrypting large volumes of data—such as images an‎d photographs—with acceptable speed an‎d low computational cost. In this thesis, after a comprehensive introduction to the AES encryption algorithm as one of the strongest algorithms used to date for data encryption, we attempt to exploit the properties of chaotic functions an‎d modify the AES algorithm to propose a new approach that provides security close to that of AES while also being lightweight an‎d low-cost in terms of implementation, making it suitable for use on mobile computing systems. A key focus of the proposed method is the analysis of the AES algorithm. In this sense, the presented approach not only increases the execution speed of AES but also addresses some of its limitations related to image data. The results an‎d analyses presented in this thesis demonstrate that the proposed method is significantly faster than the AES algorithm for encrypting image data on low-performance processors such as those used in mobile devices, an‎d in some cases, it also achieves higher security performance.

رمزنگاري , رمزنگاري آشوبي , بهينه‌سازي الگوريتم

encryption , Chaos-Based Encryption , Optimization of the AES Algorithm

Ghasempour

Dr.Jahed Motlagh