Performance Evaluation of Chaotic Maps & Attractors in Image Encryption
Roshini Premnath, Sridevi Arumugham, R. Sivaraman, C. Lakshmi, Rengarajan Amirtharajan · 2019
With the rapid development in the field of communication, the confidential transfer of information become vital as they are passing through an unsecure public channel. The contidentiality can be greatly achieved by means of encryption. As images are the most important multimedia content need to be transmitted, the concept of image encryption emerged and raise as a hot topic in the research area as well as for real time applications. In this proposed work, the performance analysis of various chaotic maps such as Logistic, Sinus, Circle and Chebyshev and attractors namely Lorenz and Lu are carried out and the results evaluated the strength of each map and attractors for image encryption. From the results, it is evidenced that the chaotic map such as chebyshev and circle map outperforms the logistic and sinus map in terms of correlation, entropy and keyspace wherein the Lorenz attractor outperforms the Lu attractor. Near zero correlation and the entropy close to 8 are the important parameters for good image encryption.