… the IoT sector with improved optimal feature selection and HR-OELM using the developed
AF-EFO to enhance the intrusion detection accuracy. To develop an optimal feature selection …

… These two problems are recently a big topic in the Internet of Things sector, and various
academics are working hard to find solutions to these issues that keep cropping up in the …

… to train the features selected using this hybrid rule-based feature selection. The suggested
… devices deployed in the consumer, commercial, and industrial sectors. These with various …

… Industrial Internet of Things (IIoT) acts as essential part of the … a novel metaheuristic feature
selection with DL enabled … feature selection technique to derive useful subset of features. In …

… of the feature selection process in terms of low-latency detection of IoT DDoS attacks on
massive 5G datasets. Subsequently, we confirmed the significance of the feature selection study …

… This article presents a new optimal feature selection (FS)-based classification model for …
for selecting desired features, and it is not suitable for the business sector, especially FCP. …

… Also, IoT has its application in most sectors of society such as home and consumer
appliances, Healthcare, life science, and Public safety.As these devices carry confidential information …

… loss of life in the health sector [6], [7]. Another severe attack that has been aimed at … to
botnet detection in IoT. They proposed two feature selection methods based on information gain …

… of botnet attacks in IoT systems. This paper proposes a feature selection approach that
identifies and removes less influential features as part of botnet attack detection method. The …

… the feature selection in DP 2 as the main contribution to select only the effective features for
… The proposed feature selection method, as a new selection method in DP 2 , is called fuzzy …