With the rapid development of the internet and communication technologies, the personalization in E-Learning is required in traditional education system in which the learners can study at their convenient time. On other hand, it faces some of the significant issues nowadays. The key issues are to be focused on the security and privacy of e-learning systems. In this paper, we propose a personalized and secured learning systems using Fuzzy C-mean clustering and also providing the security in the form of role based access control. So, we have developed a novel method named, “Security based fuzzy clustering” for security based issues. Our proposed method works on the Fuzzy C Mean clustering to make a secure E-learning environment for the better execution, and robustness of the result. According to the student requirement the teachers are assigned to the particular courses title, and the teachers know how to navigate the student. Based on the attributes, the teacher classifies whether there are good or average learners and then according to the distribution of the learners the security is provided in the role based technique. Finally, a key technology of E-learning is classified in this paper. It provides the security for the personalized learners to develop their skills.
Volume 11 | 06-Special Issue
Pages: 339-350