A novel image encryption cryptosystem based on true random numbers and chaotic systems

To enhance the security of single-chaotic systems, we propose a novel image encryption cryptosystem based on true random numbers and chaotic systems. First, we select any one of several chaotic systems. Next, the hash function is used to calculate the initial value of the chaotic system using a plaintext image. Then, we obtain a solution of this chaotic system and use the k-medoids clustering machine-learning algorithm and chaotic sequence to scramble the original image. Finally, new random numbers obtained using a chaotic signal and true random numbers are used to perform the exclusive-OR operator on the scrambled results. To illustrate the effectiveness of our method, a one-dimensional (1D) logistic chaotic system is selected for image encryption. The simulation results show that compared with the existing models, such as image encryption based on chaos and image encryption based on the advanced encryption standar (AES), our method is simpler with a higher security and resists different classical attacks.

Automated summary

A novel image encryption cryptosystem based on true random numbers and chaotic systems is proposed, utilizing hash functions, clustering machine-learning algorithms, and chaotic sequences to enhance security. Compared with existing models, the method is simpler, more secure, and resistant to different classical attacks.