Image Encryption Using Modulated Chaotic Maps
Nuri Aktas, Recep Demırcı · 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · 2022
Digital image is a data format used in different areas today. However, transmission of images via unprotected channels increases risks of attacks and threats. Due to distinctive features of images, stronger algorithms are needed for encryption. Typically, symmetrical stream encryption algorithms work faster than other methods developed so far. However, it requires a strong pseudo-random number generator. In this study, a novel secure image encryption algorithm by using chaotic mapping functions has been suggested. It is strong against decryption as well as being fast, flexible and having expandable key length capability.