IETD: a novel image encryption technique using Tinkerbell map and Duffing map for IoT applications

In many sensitive Internet-of-Things (IoT) based applications, sensor devices send information in the form of images. Chaos theory is the study of deterministic laws that exhibit characteristics like unpredictability, randomness and irregularity. These characteristics can be used to encrypt images thus providing an extra layer of security over the existing security infrastructure of the IoT application. In this work, we present a symmetric image encryption algorithm called, IETD which is suitable for IoT applications. Here, we propose a new chaotic map named “TD Map” using Tinkerbell Map and Duffing Map. We also propose an advanced zigzag algorithm that can encrypt color images of any resolution. The “TD Map” is used to generate a 2-D chaotic sequence which is utilized by simple operations like scrambling and swapping to encrypt the image. The proposed scheme has undergone many statistical tests and analyses to evaluate its performance against cryptanalysis attacks, noise, data loss, correlation immunity and so on which show that it achieves better values in each of the standard metrics under consideration than the existing ciphers. MSE, PSNR, information entropy, NPCR and UACI values show that the proposed scheme is at par with the existing schemes. Moreover, it has exhibited good energy efficiency and is easy to implement in hardware. These altogether make IETD a suitable lightweight cipher to deploy in real-time IoT applications.