Image Encryption Based on Local Fractional Derivative Complex Logistic Map

Local fractional calculus (fractal calculus) plays a crucial role in applications, especially computer sciences and engineering. One of these applications appears the theory chaos. Therefore, this paper studies dynamics fractal complex logistic map then employs to generate chaotic sequences for new symmetric image encryption algorithm. Firstly, we derive investigate its by determining equilibria, geometric properties, behavior. Secondly, proposed are employed scramble alter pixels increase resistance decryption attacks. The output findings indicate that algorithm based on maps could effectively encrypt various kinds images. Furthermore, it has better security performance than several existing algorithms.