Detection of Cyberattacks in Cloud Computing Service Delivery Models using Correlation based Feature Selection

Abstract

The paper investigates the security issues of cloud computing, analyses cyberattacks on its service delivery models. For the detection of cyberattacks in Cloud Computing Service Delivery Models a method based on feature selection using correlations among features is proposed. Using the Pearson method, a correlation was found among the features and removing of these features from the dataset provided. Various classification algorithms have been applied to the newly formed dataset. Compared to the test process performed on the original dataset, the classification algorithms gave better results on the dataset where the feature selection procedure was applied.