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Intrusion detection system using metaheuristic fireworks optimization based feature selection with deep learning on Internet of Things environment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ett.4076openalex-snapshot
An improved ensemble based intrusion detection technique using XGBoost
inferredcites →https://doi.org/10.1007/978-3-642-13495-1_44openalex-snapshot
Fireworks Algorithm for Optimization
inferredcites →https://doi.org/10.1007/s00034-021-01850-2openalex-snapshot
An Efficient VLSI Architecture for Fast Motion Estimation Exploiting Zero Motion Prejudgment Technique and a New Quadrant-Based Search Algorithm in HEVC
inferredcites →https://doi.org/10.1007/s10015-017-0422-xopenalex-snapshot
Deep recurrent neural network for mobile human activity recognition with high throughput
inferredcites →https://doi.org/10.1007/s10586-022-03607-1openalex-snapshot
A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks
inferredcites →https://doi.org/10.1007/s11042-021-10567-yopenalex-snapshot
Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection
inferredcites →https://doi.org/10.1007/s11227-021-04018-6openalex-snapshot
A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm
inferredcites →https://doi.org/10.1007/s12083-022-01336-1openalex-snapshot
A new design of intrusion detection in IoT sector using optimal feature selection and high ranking-based ensemble learning model
inferredcites →https://doi.org/10.1007/s12652-023-04683-wopenalex-snapshot
Analysis of vital signs using remote photoplethysmography (RPPG)
inferredcites →https://doi.org/10.1016/j.asoc.2020.106997openalex-snapshot
An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment
inferredcites →https://doi.org/10.1016/j.asoc.2022.109442openalex-snapshot
A novel intelligent technique for energy management in smart home using internet of things
inferredcites →https://doi.org/10.1016/j.cose.2020.101863openalex-snapshot
IoT malicious traffic identification using wrapper-based feature selection mechanisms
inferredcites →https://doi.org/10.1016/j.eswa.2023.120947openalex-snapshot
Facial Micro Emotion Detection and Classification Using Swarm Intelligence based Modified Convolutional Network
inferredcites →https://doi.org/10.1016/j.future.2020.05.020openalex-snapshot
Augmented whale feature selection for IoT attacks: Structure, analysis and applications
inferredcites →https://doi.org/10.1016/j.icte.2021.04.012openalex-snapshot
Feature selection for intrusion detection system in Internet-of-Things (IoT)
inferredcites →https://doi.org/10.1080/03772063.2022.2098187openalex-snapshot
Intrusion Detection System with an Ensemble Learning and Feature Selection Framework for IoT Networks
inferredcites →https://doi.org/10.1080/21681163.2022.2111719openalex-snapshot
Efficient Framework for Brain Tumour Classification using Hierarchical Deep Learning Neural Network Classifier
inferredcites →https://doi.org/10.1109/access.2021.3094024openalex-snapshot
Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks
inferredcites →https://doi.org/10.1109/aina15514.2009openalex-snapshot
2009 International Conference on Advanced Information Networking and Applications
inferredcites →https://doi.org/10.1109/cw.2019.00059openalex-snapshot
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks
inferredcites →https://doi.org/10.1109/iccci50826.2021.9402562openalex-snapshot
An Effective Intrusion Detection System for Securing IoT Using Feature Selection and Deep Learning
inferredcites →https://doi.org/10.1109/iemcon53756.2021.9623082openalex-snapshot
A Machine Learning Framework for Intrusion Detection System in IoT Networks Using an Ensemble Feature Selection Method
inferredcites →https://doi.org/10.1109/tnsm.2020.2971776openalex-snapshot
Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
inferredcites →https://doi.org/10.1142/s0218001423540010openalex-snapshot
Dual-Channel Capsule Generative Adversarial Network Optimized with Golden Eagle Optimization for Pediatric Bone Age Assessment from Hand X-Ray Image
inferredcites →https://doi.org/10.1142/s0218126623502730openalex-snapshot
An Optimal Partitioning and Floor Planning for VLSI Circuit Design Based on a Hybrid Bio-Inspired Whale Optimization and Adaptive Bird Swarm Optimization (WO-ABSO) Algorithm
inferredcites →https://doi.org/10.1142/s0218126624500117openalex-snapshot
An Efficient Control Strategy for an Extended Switched Coupled Inductor Quasi-Z-Source Inverter for 3Φ Grid Connected System
inferredcites →https://doi.org/10.1145/3231053.3234323openalex-snapshot
Utilizing feature selection techniques in intrusion detection system for internet of things
inferredcites →https://doi.org/10.1155/2021/7154587openalex-snapshot
Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
inferredcites →https://doi.org/10.1155/2021/8820116openalex-snapshot
Automatic Impervious Surface Area Detection Using Image Texture Analysis and Neural Computing Models with Advanced Optimizers
inferredcites →https://doi.org/10.1155/2022/8614903openalex-snapshot
An Intrusion Detection System for the Internet of Things Based on the Ensemble of Unsupervised Techniques
inferredcites →https://doi.org/10.1155/2022/9173291openalex-snapshot
MidSiot: A Multistage Intrusion Detection System for Internet of Things
inferredcites →https://doi.org/10.14416/j.asep.2021.10.004openalex-snapshot
An Efficient IWOLRS Control Technique of Brushless DC Motor for Torque Ripple Minimization
inferredcites →https://doi.org/10.3390/app12105015openalex-snapshot
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
inferredcites →https://doi.org/10.3390/app13095427openalex-snapshot
An Intrusion Detection System Using BoT-IoT
inferredcites →https://doi.org/10.3390/electronics11040524openalex-snapshot
IMIDS: An Intelligent Intrusion Detection System against Cyber Threats in IoT
inferredcites →https://doi.org/10.3390/iot2030022openalex-snapshot
Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks
inferredcites →https://doi.org/10.3390/s21196432openalex-snapshot
IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses
inferredcites →https://doi.org/10.3390/s21217016openalex-snapshot
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT
inferredcites →https://doi.org/10.3390/s22020432openalex-snapshot
Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways
inferredcites →https://doi.org/10.3390/s22041396openalex-snapshot
An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection
inferredcites →https://doi.org/10.3390/su15032204openalex-snapshot
Design of Metaheuristic Optimization Algorithms for Deep Learning Model for Secure IoT Environment
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-18093-3_9openalex-snapshot
Strengthening of Cyber-Physical Infrastructure Resilience by DRL Adaptive Resource Management
inferred← citeshttps://doi.org/10.1007/978-3-032-18144-2_22openalex-snapshot
Adaptive Intelligent Routing Algorithm for Integrating MANETs with IoT Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-26370-4_2openalex-snapshot
Support Vector Machine-Lyapunov Control for Nonlinear Cluster Synchronization
inferred← citeshttps://doi.org/10.1007/978-981-95-3486-9_6openalex-snapshot
Optimizing Intrusion Detection Pipelines with AutoML: XGBoost for Enhanced Security
inferred← citeshttps://doi.org/10.1007/978-981-96-9682-6_5openalex-snapshot
IoT-Driven Predictive Analytics for Smart Agriculture Using Random Forest Algorithm
inferred← citeshttps://doi.org/10.1007/s10462-025-11473-7openalex-snapshot
A systematic review of metaheuristic based feature selection strategies for cyber-attack detection in the IIoT
inferred← citeshttps://doi.org/10.1007/s44196-025-01144-4openalex-snapshot
Deep Intelligent Intrusion Recognition in IoT Systems by Optimizing Xception Networks Based on Modified Pelican Optimization
inferred← citeshttps://doi.org/10.1016/j.aej.2024.09.117openalex-snapshot
Blockchain-assisted improved interval type-2 fuzzy deep learning-based attack detection on internet of things driven consumer electronics
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101984openalex-snapshot
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
inferred← citeshttps://doi.org/10.1109/access.2025.3532800openalex-snapshot
Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection
inferred← citeshttps://doi.org/10.1186/s13677-025-00785-2openalex-snapshot
A novel IoT threat detection using GWO feature selection and CNN-enhanced LightGBM
inferred← citeshttps://doi.org/10.17559/tv-20240823001937openalex-snapshot
Improving IoT Network Longevity with Attack Repellent Energy (SARE) Algorithm for Energy-Efficient and Secure Routing
inferred← citeshttps://doi.org/10.3390/app142411966openalex-snapshot
Enhancing IoT Network Security Using Feature Selection for Intrusion Detection Systems
inferred← citeshttps://doi.org/10.3390/iot7030049openalex-snapshot
CID: A Compact Deep Learning Framework for Intrusion Detection Based on Binary Greylag Goose Optimization
inferred← citeshttps://doi.org/10.4018/979-8-3373-7488-8.ch005openalex-snapshot
Edge Computing-Empowered Federated Learning for Decentralized Intrusion Detection Using Autoencoders
inferred← citeshttps://doi.org/10.4018/979-8-3373-7867-1.ch001openalex-snapshot
Adaptive Adversarial-Resilient Explainable Intrusion Detection System for 6G Edge Networks (AARE-IDS)
inferred← citeshttps://doi.org/10.7717/peerj-cs.2745openalex-snapshot
Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm
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