Efficient lossless based secure communication in 6G Internet-of-Things environments

Abstract

Future sustainable energy-efficient computing solutions in e-healthcare, smart cities, and intelligent robotics applications provide the many benefits and real-time services made possible by the Internet of Things (IoT) and the cloud computing platform. IoT is a relatively new technology expected to emerge due to the expansion of data, communication channels, and embedded systems. Through the IoT, users and physical objects exchange data and interact on virtual networks. Due to the resource-constraint nature of IoT, it is becoming increasingly difficult for organizations and individuals to protect their private information as the value of digital information rises. Reversible Data Hiding (RDH) in Encrypted Images (RDHEI) is gaining popularity in 6G technology for privacy protection because of its ability to embed secret data within an encrypted image and confirm the hidden information authenticity. In this research, we proposed a sustainable, energy-efficient, multi-MSB (most significant bit)-based dynamic quadtree partition with enhanced Huffman coding. Different prediction representations are also utilized to anticipate the existing pixel value from the adjacent pixels based on quadtree partitions to take greater advantage of the spatial association in the cover image. Furthermore, the freed-up large space is used to insert additional data using dynamic quadtree partitions to encrypt the image. Our approach has an optimum embedding capacity compared to the current state-of-the-art schemes.