… IoT environment [26,27]. This paper proposes a novel feature selection approach for machine
… -based IDS towards obtaining a resilient performance within the diverse IoT ecosystem. …

… time to detect attacks. This paper proposes a feature selection for intrusion detection systems
(… top 50% features for the detection of DoS and DDoS attacks. The proposed system obtains …

… feature selection techniques to improve intrusion detection using machine learning methods…
of our proposed method, it is shown three different feature selection algorithms, namely SVM…

… been presented, including intrusion detection systems (IDS). … a novel feature selection (FS)
approach by improving the … is named the GTO-BSA method. The performance of GTO was …

… feature selection along with a novel fitness function. The present work develops an enhanced
GA-based feature selection method … -IoT. A comparison is also performed with the standard …

… for detecting malicious activities in IDSs, Machine Learning (ML) techniques have attracted
… based on a novel feature selection method for anomaly detection in IoT networks. The …

… makes it prone to various attacks, and thus, intrusion detection system safeguards the IoT
network from attacks. In this paper, we present intrusion detection scheme for IoT networks …

… In this paper, an intrusion detection system for anomaly detection in IoT security is proposed.
The proposed IDS is based on an enhanced version of pigeon-inspired optimization (PIO) (…

… ) to enhance IoT security. This paper presents a network intrusion detection model for IoT
environments using a K-Nearest Neighbors (K-NN) classifier and feature selection. We built …

… feature extraction is now at the core of a more accurate IDS [19, 20]. In most detection methods,
the feature selection technique is … goal of aggregate discovery performance and reducing …