Multidimensional comparative analysis of image encryption using gauss iterated and logistic maps
Multimedia data are transferred through various networks for personal and professional uses. Hence, everyone wants to send or receive the data in a secure manner without any interruption or modification. In general, data security is done using cryptographic techniques or chaotic techniques. This paper focuses on an image encryption technique using multidimensional Gauss iterated map instead of multidimensional logistic map. The multidimensional Gauss iterated map uses more control parameters as compared to multidimensional logistic map, which enhances the data security. NPCR and UACI parameters are used to prove this. Similarly, the Gauss variations take lesser time for encryption and decryption as compared to the logistic variations.
2017 International Conference on Communication and Signal Processing (ICCSP)