Cloud Intrution Detection System Using Antlion Optimization Algorithm and Support Vector Machine (SVM) Techniques

Abstract

Cloud computing is an emerging technology that provides services and computing resources on demand to users with less management effort through the internet. Because of the increase in the number of internet user and the distributed nature of cloud, it has become a platform for criminal activities from within and outside of cloud environment. The cloud based intrusion detection system has been found as the most effective security mechanism to prevent intruders from accessing cloud resources. This research has put forward a cloud based Intrusion Detection System that detects criminal behaviors inside cloud, utilizing Antlion Optimization (ALO) as the feature selection algorithm and Support Vector Machine as the Classification algorithm. Results from experiments shows its accuracy to be 98.56%,2.29% False Positive Rate, 96.32% (Recall, Precision and F-Measure), and 92.52% Kappa Statistics.