Cryptosystem for Secured E-Learning and Educational Data Mining in Higher Education
Published: 2019
Author(s) Name: Akram Salim Khanfar, Firdous Ahmad Lone and MD Moizuddin |
Author(s) Affiliation: Faculty, King Saud University, Saudi Arabia.
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Abstract
In the 21st century, we have plenty of data available in the society of education. Importantly, today’s education system has changed, it takes place through all the available channels and one of the significant means is the digital learning e-learning. Large amounts of data are available for the students as well as teachers to access the digital data online. Today security of the data became an important concern in the society and at the education sector level. Further, we need to extract the precise data and improve the existing education system through e-learning by using Educational Data Mining. In this paper, we will focus on the security of the online education resources and the extraction of the data based on the student’s level by using the mining techniques that will be helpful for the students.
Keywords: AES, Cryptography, E-learning, Educational Data Mining (EDM), Encryption, KDED (Knowledge Discovery in Educational Databases), Threats and risks.
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