Ensuring data security is a hot-button-issue at present in medical field because the sufferer information are stored and transmitted widely through communication networks. To vanquish the awful conditions a novel Multi-dimensional Medical Image Encryption (MMIE) scheme is proposed exploiting Rossler dynamical system and Sine map. Chaotic systems gained its popularity in the last few decades for their complex properties and in particular their sensitiveness to initial conditions. The proposed encryption system incorporates a substantial key space and robustness to withstand diverse attacks and beats out the conventional encryption methodologies. Simulation results such as histogram analysis, entropy analysis, differential analysis, correlation analysis, computational complexity analysis, comparison analysis, key space analysis, key sensitivity analysis, robustness to various noise and data-loss analysis turns up the system to admit a substantial amount of security.

由于患者信息是通过通信网络广泛存储和传输的，因此确保数据安全性在医学领域是当前的热点问题。为了克服这些可怕的条件，提出了一种利用Rossler动力学系统和正弦图的多维医学图像加密（MMIE）方案。在过去的几十年中，混沌系统因其复杂的特性，特别是对初始条件的敏感性而广受欢迎。所提出的加密系统具有相当大的密钥空间和鲁棒性，可以抵御各种攻击，并击败了传统的加密方法。仿真结果，例如直方图分析，熵分析，微分分析，相关性分析，计算复杂性分析，比较分析，关键空间分析，