Smart Courses Learning for Network Security using Computational Intelligence

Abstract

This research develops a smart course to study network security. This smart courser uses computational intelligence (CI) to classify the user's capabilities in the network security learning module. The use of other computational intelligence is used in this smart course to provide suggestions on network security modules that students can work on based on previously acquired abilities. The algorithm computational intelligence used in this study is k-Nearest Neighbor and Bayesian Network (BN). The k-NN algorithm to classify the user's capabilities based on the pre-test of each module on the smart course. The Bayesian Network algorithm is used to provide further modules to the user by the wishes and abilities of the user. The k-NN and Bayesian Network test results on this smart course have an average accuracy of 85%.