An Approach for Safe Network Image Communication Using Hybrid Cloud and Half Tensor Product Compression Perception

1. Introduction

Network pictures are becoming more and more essential in everyday life and a variety of businesses as a vital information carrier. But this also poses serious problems for the safe transfer of picture data, particularly when it comes to private information and trade secrets. Techniques for transmitting images that are both secure and efficient are crucial for protecting the confidentiality and integrity (Amin S N et al. 2023) of data. Presently, compression-aware approaches and classic encryption algorithms are the main focus of picture encryption and transmission methods. However, when working with large-scale picture data, these approaches often run into issues with slowness and inadequate security. Furthermore, some academics have suggested cloud-based picture transmission and storage solutions via the use of cloud computing technology; nevertheless, these solutions continue to face difficulties with processing complexity and cost-effectiveness. This context informs the research's construction of an algorithm that combines the notion of a hybrid cloud with semi-tensor product compression perception to enable safe picture transmission across networks. The primary components of this method are picture encryption and image decryption. Its goal is to fulfill the growing demands of network security while simultaneously improving the security and efficiency of image transmission (Bao W et al. 2022). The novel aspect of this study is how the algorithm's processing of high-dimensional data may be made more flexible and efficient by using the semi-tensor product compression perception approach. In the meanwhile, the image processing system's scalability and security may be further increased by using the hybrid cloud architecture, which combines edge and center clouds to maximize data processing and transmission. The research's findings have significant theoretical and practical implications for network image transmission security. In addition to offering a fresh technological avenue for safe picture transfer, the developed encryption and decryption algorithm encourages the use and development of cloud computing and compressed sensing technologies in the realm of network security. The research is broken up into four sections. Prior research is examined and analyzed in order to establish the primary focus of current investigation. Creating a safe transmission technique for network photos is the second step. Testing and analysis of the algorithm developed by the research institution constitute the third section. The research information is summarized and given a view in the last section.