Information Security Framework for Online Language Education Using Differential Privacy and Secure Multi-Party Computation Algorithm

Online Language Education (OLE) platforms have garnered considerable attention as the need for superior services escalates. Implementing the Mobile Internet of Things (MIoT) encounters numerous obstacles, such as communication security, availability, and scalability. These difficulties directly affect the usage of OLE systems. The constantly changing topology features of MIoT systems complicate the resolution of these difficulties. The research proposes an MIoT paradigm to address these difficulties, efficiently managing the dynamic and developing aspects of network structure, thus improving the system's agility and flexibility. The model can ensure communication confidentiality and security, especially in emergency scenarios for information security. Phishing attempts are now recognized as a significant threat to the security of private information. The present study introduces a novel methodology utilizing Secure Multi-Party Computation (SMPC) to detect phishing assaults on encrypted emails while maintaining data security and privacy. In the framework, the control layer is tasked with calculating routes for Online Educational Devices (OLDs) and directing entries for switching. The controller efficiently orchestrates the system by employing the data gathered from OLDs and amenities for information security. To guarantee the legitimacy and reliability of communications transmitted by OLDs, the research has suggested a novel signature and authentication system utilizing conventional encryption algorithms. The research presents an emergency-handling method incorporating multicast technologies into MIoT, constructing a Steiner Tree among affected nodes to alert OLDs during emergencies swiftly. The security study demonstrates that the MIoT system can guarantee communication safety. An assessment reveals that the method surpasses other current methods.