Design of compressed sensing fault-tolerant encryption scheme for key sharing in IoT Multi-cloudy environment(s)

Abstract

The booming growth of the Internet of things(IoT) has improved the productivity of companies and improved people's quality of life. However, as a growing number and variety of connected devices are introduced into the IoT networks, not only are communication bandwidth and storage severely challenged, but potential security threats are escalating. Therefore, we consider using compressive sensing(CS) in the IoT system to solve this problem. The solution we designed solves three main security threats in the IoT, the perception layer, the transport layer and the application layer. In our work, the gateway node of the perception layer provides the function of anonymous identity authentication and information authentication, which can not only prevent external attackers from obtaining private information from the gateway node, but also solve security problems such as identity authentication and man-in-the-middle attack in the transmission layer. Meanwhile, our scheme handles the ciphertext integrity protection and energy leakage in existing CS encryption(CSE) schemes, protecting the security of application layer privacy data. And our scheme provides a secure key sharing method, which improves the security of the system. In addition, we designed two fault-tolerant models to ensure that the ciphertext can still be decrypted correctly when the cloud server fails in the IoT environment. The use of the replaced sparse vector instead of the random matrix method in the traditional CSE scheme improves the quality of recovery while saving a large amount of storage space. Simulation results show that our scheme improves the overall compression and recovery performance compared to other CSE schemes.