Secure Application of MIoT: Privacy-Preserving Solution for Online English Education Platforms

Abstract

With the increasing demand for higher-quality services, online English education platforms have gained significant attention. However, practical application of the Mobile Internet of Things (MIoT) still faces various challenges, including communication security, availability, scalability, etc. These challenges directly impact the utilization of online English education platforms. The dynamic and evolving nature of the topology characteristics in Mobile Internet of Things networks adds complexity to addressing these issues. To overcome these challenges, we propose a software-defined MIoT model that effectively handles the dynamic and evolving network topology features, thereby enhancing the system’s flexibility and adaptability. Additionally, our model can provide communication security and privacy protection, particularly in emergency situations. In our scheme, the control plane is responsible for computing routes for online learning devices (OLDs) and forward entries for switches. By utilizing the information collected from OLDs and facilities, the controller is able to effectively coordinate the overall system. To ensure the authenticity and reliability of messages sent by OLDs, we have proposed a new signature and authentication mechanism based on traditional encryption algorithms. Moreover, we introduce an emergency-handling system that integrates multicast technology into software-defined MIoT, generating a Steiner Tree among impacted nodes to promptly notify OLDs when there is an emergency. The security analysis proves that our scheme is able to ensure communication security in software-defined MIoT. A performance evaluation indicates that our scheme outperforms other existing schemes.