… [19], whereas the FS utilized a genetic algorithm, the ML intrusion detection system made
use of multiple SVM classifiers. Identification accuracy, false positive rate and negative …

… Intrusion Detection System (IDS) for the cloud environment using ensemble feature selection
… In this research work, we used four different machine learning algorithms, namely, SVM, …

… Basic services needed for creating a cloud computing environment on commodity hardware
… machine learning algorithms with the parallel genetic algorithm to perform feature selection …

… IDS on each server in cloud computing to monitor network traffic for detecting attacks. IDS is
… commodity computing servers. The system used a distributed deep learning algorithm with …

… The strategy utilized in this study use machine learning methods based on ensemble techniques
to … However, unique feature selection algorithms would have been chosen for different …

… [18] proposed feature selection and intrusion detection … of the intrusion determination rate
in cloud computing using KDD99 … is shown three different feature selection algorithms, namely …

… algorithms against deep learningbased intrusion detection system. The author believed Deep
… Her current research interests are in the area of Cloud Computing, Data Analytics, and IoT. …

… and intrusion detection, this work contributes an enhanced Genetic Algorithm (GA)-based
feature selection method, … Utilizing machine learning algorithms, IDSs are able to detect the …

… deep learning based feature selection algorithms can incur a high computation time for feature
selection… cloud computing layer. Leveraging the computation resources available at the …

… with a swarm intelligence (SI) based machine learning model (… of soft computing based feature
selection algorithms such as … network intrusion detection in cloud computing environments…