An Efficient Image Encryption Scheme for Industrial Internet-of-Things Devices

Recently, industrial Internet-of-Things (IoT) has appeared and developed rapidly, and image data captured by IoT nodes or terminal devices is associated with user's personal privacy information. In order to protect image data, image encryption mechanism provides a flexible and secure approach in retaining the secrecy of images transformation and storage in the Internet-of-Things systems. In this paper, we propose an efficient image encryption algorithm that can encrypt a large number of images. First, initial conditions of hyperchaotic Chen system are computed by SHA-512 and chaotic sequences. Then, pixel scrambling, image encryption and cyclic shift are employed to permute the plain image. The XOR operation is also constructed to improve correlation between pixels. Due to the sensitivity of SHA algorithm for the original input, each image has its own unique encryption parameter value. Simulation results and theoretical analysis demonstrate that, compared with related schemes, the proposed scheme is efficient and practical, and it can be used in the requirement of sensitive image protections such as internet of vehicles (IoVs) and wireless body area networks (WBAN).