11 天前 - … increased the ability to integrate smart elements into daily routines through … intrusion
detection in IoT, with the aim of enhancing the security and reliability of this type of network …

11 天前 - … feature selection (FS) and feature extraction (FE) techniques for network intrusion
detection … for both binary and multi-class classification tasks. We evaluated FS methods, …

22 天前 - … The dataset captured network traffic instances from various IoT smart devices
traversing … For this study, the pre-processed relevant packet features selected form this dataset is …

25 天前 - … Our suggested blockchain-based healthcare systems with intelligent smart contracts
… Machine learning classifiers for network intrusion detection system: comparative study. In …

25 天前 - … technique for the feature selection procedure. Next, the convolutional neural
network-gated recurrent unit (CNN-GRU) technique is … ] developed an intellectual IDS for the IoT …

33 天前 - … Kannan, “Intelligent feature selection and classification techniques for intrusion
detection in networks: A survey,” EURASIP J Wirel Commun Netw, vol. 2013, no. 1, pp. …

35 天前 - … The second step of this work is feature selection, which helps identify the appropriate
… A lightweight intelligent intrusion detection system for industrial internet of things using …

42 天前 - … For any IDS, choosing features to enhance performance is a … feature selection for
an intrusion detection system. Metaheuristics with biological inspiration is one such method. …

45 天前 - … We propose a novel intrusion detection system to identify cyberattacks in the
Internet of Agriculture Things. The proposed IDS uses Downsized Kernel Partial Least Square (…

51 天前 - … [15] present a feature selection technique using particle swarm optimisation. […
feature selection strategies for intrusion detection systems. This review assesses feature selection …