Cloud secured mobile e-learning system solutions using machine learning approach

Abstract

Specifically designed learning models namely the mobile learning systems are conveniently available at a mobile device. The following are the difficulties that mobile learning systems must overcome: connection speed, processing power, adaptability, and the difficulty of attaining security. In this paper, we design and construct a cloud-based secure mobile e-learning management system (CSMELMS) for educational purposes. The system is made up of three primary modules, which are the client, mobile network, and cloud model. The client model makes the users to access the data via mobile application, which is connected to a mobile network using the client model. The authentication server is responsible for ensuring that each user attempting to access the system is who they claim to be. The CSMELMS system was developed using the Java programming language with the database being provided by MySQL. When the model is tested using a machine learning algorithm, it was found to be effective at enabling it for available to students when and where they need them. The utilisation of machine learning concepts enables better and secured operations for educational purposes. The results of simulation shows that this model is better at providing a better e-learning portal for students and teachers.