Enhancing Image Security using Henon and Tinkerbell Map
Umber Bashir, Nasir Siddiqui, Saba Inam, Shamsa Kanwal · International Journal of Research Publication and Reviews · 2024
With the latest developments in technology, data security has become a more critical concern.One of the most important tools for protecting data during transmission from unauthorised access is encryption.Encryption protects a wide range of sensitive data against breaches, including financial transactions and email correspondence.This contains data in a range of types, including text, pictures, audio, and video.In this paper, we suggest a new method that incorporates chaotic maps: Henon map and the Tinkerbell map, in particular into the colour RGB picture encryption procedure.Our solution, in contrast to conventional approaches, makes use of the Hill cipher algorithm using a matrix key made up of several colour key codes.Careful consideration goes into choosing these key codes in order to improve security.Using chaotic maps, we produce numerical sequences that fill the Hill key matrix.These sequences are inherently unpredictable, which makes them difficult to interpret.In order to verify the efficacy of our suggested solution, we ran MATLAB simulations.A test picture was successfully encrypted and decrypted using our methods, demonstrating the reliability and effectiveness of our approach in practical settings.