Digital images belong to one of the most important and frequently transmitted data categories are the inevitable part of the modern data communication systems. Images contain several sensitive and private data and therefore unauthorized access to these data can be very costly. Recent technological advancements allow us to process, store, and conveniently transmit digital images and it demands robust image security schemes for reliable and fearless operation. Images are not like other data like text, audio, etc. and sometimes, conventional image encryption systems are not always suitable for these applications. Therefore, in this work, a novel robust image encryption framework is designed that is based on DNA computing and chaos theory. The low dimensional chaotic map is used in this work to reduce computational overhead and make the system simpler. In this work, the chaotic logistic map and the chaotic Zaslavsky map are used in two different phases. DNA computing helps to effectively encode the actual pixel values on which DNA operations can be applied. The total process is secured by an additional scrambling approach. An elaborative study of the performance of the proposed system is presented in this work and the obtained results are encouraging enough to adopt the proposed approach for real-life applications.

数字图像属于最重要且经常传输的数据类别之一，是现代数据通信系统的必然部分。图像包含多个敏感和私有数据，因此未经授权访问这些数据可能会非常昂贵。最近的技术进步使我们能够处理，存储和方便地传输数字图像，并且它需要可靠的图像安全方案，以实现可靠而无所畏惧的操作。图像与其他数据（如文本，音频等）不同，有时，常规的图像加密系统并不总是适用于这些应用程序。因此，在这项工作中，设计了一种基于DNA计算和混沌理论的新型鲁棒图像加密框架。低维混沌图用于这项工作中，以减少计算开销并使系统更简单。在这项工作中，混沌后勤图和混沌Zaslavsky图用于两个不同的阶段。DNA计算有助于有效地编码可应用DNA操作的实际像素值。整个过程由其他加扰方法保护。在这项工作中，对拟议系统的性能进行了详尽的研究，所获得的结果令人鼓舞，足以将拟议的方法用于现实生活中。