SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism

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Distributed Abnormal Behavior Detection Approach Based on Deep Belief Network and Ensemble SVM Using Spark

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A Predictive Data Feature Exploration-Based Air Quality Prediction Approach

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Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review

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Packet and Flow Based Network Intrusion Dataset

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MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection

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Intrusion detection system using hybrid binary PSO and K-nearest neighborhood algorithm

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Feature Selection Using Relative Fuzzy Entropy and Ant Colony Optimization Applied to Real-time Intrusion Detection System

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A Practical Network-Based Intrusion Detection and Prevention System

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An Effective Technique for Intrusion Detection Using Neuro-Fuzzy and Radial SVM Classifier

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An Efficient Approach for Intrusion Detection in Reduced Features of KDD99 Using ID3 and Classification with KNNGA

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An Efficient Algorithm for Network Intrusion Detection System

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Network Intrusion Prediction Model based on RBF Features Classification

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Multimodal machine learning in precision health: A scoping review

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Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM)

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The Comparison of LightGBM and XGBoost Coupling Factor Analysis and Prediagnosis of Acute Liver Failure

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An improved anomaly detection model for IoT security using decision tree and gradient boosting

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Zero-day attack detection: a systematic literature review

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A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams

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E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection

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Practical early prediction of students’ performance using machine learning and eXplainable AI

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lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning

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5G Security Challenges and Solutions: A Review by OSI Layers

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Deep residual convolutional neural Network: An efficient technique for intrusion detection system

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Identification of immune microenvironment subtypes and signature genes for Alzheimer’s disease diagnosis and risk prediction based on explainable machine learning

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An intrusion detection approach using ensemble Support Vector Machine based Chaos Game Optimization algorithm in big data platform

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Building an efficient intrusion detection system using grasshopper optimization algorithm for anomaly detection

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Boosting-Based Machine Learning Applications in Polymer Science: A Review

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A novel flood risk management approach based on future climate and land use change scenarios

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A novel optimized probabilistic neural network approach for intrusion detection and categorization

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A supplier selection & order allocation planning framework by integrating deep learning, principal component analysis, and optimization techniques

Islam, S., Amin, S. H., & Wardley, L. J. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121121 · Cited by 63 · see citing works

A Novel Ensemble Framework for an Intelligent Intrusion Detection System

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Machine Learning for Detecting Anomalies and Intrusions in Communication Networks

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A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm

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A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis

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Multi-class imbalanced enterprise credit evaluation based on asymmetric bagging combined with light gradient boosting machine

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Anomaly detection model based on gradient boosting and decision tree for IoT environments security

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Baseline energy modeling for improved measurement and verification through the use of ensemble artificial intelligence models

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A tfidfvectorizer and singular value decomposition based host intrusion detection system framework for detecting anomalous system processes

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Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-Supervised Learning Approach

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Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models

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A novel time efficient learning-based approach for smart intrusion detection system

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Design of an Intrusion Detection Model for IoT-Enabled Smart Home

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Tunnel deformation prediction during construction: An explainable hybrid model considering temporal and static factors

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Enhancing Cloud Security with Deep Learning-Based Intrusion Detection in Cloud Computing Environments

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Edge-featured multi-hop attention graph neural network for intrusion detection system

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Leveraging LightGBM for Categorical Big Data

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A Deep Learning Ensemble Approach to Detecting Unknown Network Attacks

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Malicious traffic detection combined deep neural network with hierarchical attention mechanism

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Prediction of biogas production in anaerobic digestion of a full‐scale wastewater treatment plant using ensembled machine learning models

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Advancing Snort IPS to Achieve Line Rate Traffic Processing for Effective Network Security Monitoring

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Hybrid Neural Network-Based Intrusion Detection System: Leveraging LightGBM and MobileNetV2 for IoT Security

Yang, Y.-M., Chang, K.-C., & Luo, J.-N. (2025) · Symmetry · doi:10.3390/sym17030314 · Cited by 38 · see citing works

Unknown Security Attack Detection Using Shallow and Deep ANN Classifiers

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Improved Transformer-Based Privacy-Preserving Architecture for Intrusion Detection in Secure V2X Communications

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A Two-Level Ensemble Learning Framework for Enhancing Network Intrusion Detection Systems

Arreche, O., Bibers, I., & Abdallah, M. (2024) · IEEE Access · doi:10.1109/access.2024.3407029 · Cited by 35 · see citing works

Lightweight real-time WiFi-based intrusion detection system using LightGBM

Bhutta, A. A., Nisa, M. U., & Mian, A. N. (2023) · Wireless Networks · doi:10.1007/s11276-023-03516-0 · Cited by 34 · see citing works

A smart model integrating LSTM and XGBoost for improving IoT-enabled smart cities security

Hazman, C., Guezzaz, A., Benkirane, S., & Azrour, M. (2024) · Cluster Computing · doi:10.1007/s10586-024-04780-1 · Cited by 34 · see citing works

A Transfer Learning Method for the Protection of Geographical Indication in China Using an Electronic Nose for the Identification of Xihu Longjing Tea

Wang, X., Gu, Y., & Liu, H. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3048534 · Cited by 34 · see citing works

Hybrid intrusion detection system based on Dempster-Shafer evidence theory

Weicheng, Q., Yinghua, M., Chen, X., Yu, H., & Chen, L. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102709 · Cited by 34 · see citing works

An Ensemble-Based Multiclass Classifier for Intrusion Detection Using Internet of Things

Rani, D., Gill, N. S., Gulia, P., & Chatterjee, J. M. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/1668676 · Cited by 34 · see citing works

An improved sparrow search algorithm optimized LightGBM approach for credit risk prediction of SMEs in supply chain finance

Hou, L., Bi, G., & Guo, Q. (2024) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2024.116197 · Cited by 33 · see citing works

A Survey on Multi-Agent Based Collaborative Intrusion Detection Systems

Bougueroua, N., Mazouzi, S., Belaoued, M., Seddari, N., Derhab, A., & Bouras, A. (2021) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.2478/jaiscr-2021-0008 · Cited by 33 · see citing works

Prediction of compressive strength and tensile strain of engineered cementitious composite using machine learning

Uddin, M. N., Shanmugasundaram, N., Praveenkumar, S., & Li, L. (2024) · International Journal of Mechanics and Materials in Design · doi:10.1007/s10999-023-09695-0 · Cited by 32 · see citing works

A FKPCA-GWO WDBiLSTM classifier for intrusion detection system in cloud environments

Geetha, T. V., & Deepa, A. J. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.109557 · Cited by 30 · see citing works

Research on fault diagnosis system for belt conveyor based on internet of things and the LightGBM model

Wang, M., Shen, K., Tai, C., Zhang, Q., Yang, Z., & Guo, C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0277352 · Cited by 30 · see citing works

XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System

Mahmoud, M. M., Omar, Y. M. K., & Abdel-Hamid, A. (2025) · Future Internet · doi:10.3390/fi17010025 · Cited by 28 · see citing works

EFS-DNN: An Ensemble Feature Selection-Based Deep Learning Approach to Network Intrusion Detection System

Wang, Z., Liu, J. H., & Sun, L. (2022) · Security and Communication Networks · doi:10.1155/2022/2693948 · Cited by 28 · see citing works

Unsupervised online anomaly detection in Software Defined Network environments

Scaranti, G. F., Carvalho, L. F., Barbon, S., Lloret, J., & Proença, M. L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.116225 · Cited by 27 · see citing works

An integrated intrusion detection framework based on subspace clustering and ensemble learning

Zhu, J., & Liu, X. (2024) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2024.109113 · Cited by 24 · see citing works

Enhanced Network Intrusion Detection System

Kotecha, K. V., Verma, R., Rao, P. V., Prasad, P., Mishra, V. K., Badal, T., Jain, D., Garg, D., & Sharma, S. (2021) · Sensors · doi:10.3390/s21237835 · Cited by 23 · see citing works

A High-dimensional Outlier Detection Approach Based on Local Coulomb Force

Zhu, P., Zhang, C., Li, X., Zhang, J., & Qin, X. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3172167 · Cited by 23 · see citing works

Status Forecast and Fault Classification of Smart Meters Using LightGBM Algorithm Improved by Random Forest

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Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique

Mohi-ud-din, G., Zhiqiang, L., Zheng, J., Sifei, W., Zhijun, L., Asim, M., Zhong, Y., & Chen, Y. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2023.3258901 · Cited by 20 · see citing works

Effects of Rebar Size and Volume Fraction of Glass Fibers on Tensile Strength Retention of GFRP Rebars in Alkaline Environment via RSM and SHAP Analyses

Iqbal, M., Zhang, D., Khan, M. I., Zahid, M., & Jalal, F. E. (2023) · Journal of Materials in Civil Engineering · doi:10.1061/jmcee7.mteng-15589 · Cited by 20 · see citing works

An Explainable Evaluation Model for Building Thermal Comfort in China

Liu, H., & Ma, E. (2023) · Buildings · doi:10.3390/buildings13123107 · Cited by 20 · see citing works

Probe Attack Detection Using an Improved Intrusion Detection System

Almazyad, A. S., Halman, L. M., & Alsaeed, A. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.033382 · Cited by 19 · see citing works

Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response

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Real-Time Intrusion Detection and Prevention with Neural Network in Kernel Using eBPF

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Few-Shot Learning-Based Network Intrusion Detection through an Enhanced Parallelized Triplet Network

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Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution

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Machine learning modeling for predicting adherence to physical activity guideline

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An Enhanced Hybrid Intrusion Detection Based on Crow Search Analysis Optimizations and Artificial Neural Network

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A Review on Recent Intrusion Detection Systems and Intrusion Prevention Systems in IoT

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Sensitivity analysis and comparative assessment of novel hybridized boosting method for forecasting the power consumption

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A Robust Security Detection Strategy for Next Generation IoT Networks

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Hybrid Deep Learning framework-based intrusion detection system for the Internet of Things

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LightGBM-based Ransomware Detection using API Call Sequences

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X-Band Radar Attenuation Correction Method Based on LightGBM Algorithm

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Ensemble-IDS: An Ensemble Learning Framework for Enhancing AI-Based Network Intrusion Detection Tasks

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Meerkat Clan-Based Feature Selection in Random Forest Algorithm for IoT Intrusion Detection

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A weighted intrusion detection model of dynamic selection

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Unveiling encrypted traffic types through hierarchical network characteristics

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Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM

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Machine Learning Based Intrusion Detection System

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Intrusion detection method based on imbalanced learning classification

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An Intrusion Detection System for the Internet of Things Based on the Ensemble of Unsupervised Techniques

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IoT Intrusion Detection Using Modified Random Forest Based on Double Feature Selection Methods

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Two-Dimensional Projection-Based Wireless Intrusion Classification Using Lightweight EfficientNet

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Shale gas well productivity potential evaluation based on data-driven methods: case study in the WY block

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Finding Harmony in the Noise: Blending Security Alerts for Attack Detection

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A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning

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A Hybrid Network Intrusion Detection Model Based on CNN-LSTM and Attention Mechanism

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Enhancing Cyber Defense: Using Machine Learning Algorithms for Detection of Network Anomalies

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Network Intrusion Detection to Mitigate Jamming and Spoofing Attacks Using Federated Leading

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A Novel Preprocessing Methodology for DNN-Based Intrusion Detection

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Strengthening IoT Intrusion Detection through the HOPNET Model

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Simulation and Modeling of a Data Twin Service for the Autoclave Curing Process

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Implementation and Performance Evaluation of Intrusion Detection Systems under high-speed networks

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An Intelligent Intrusion Detection Scheme Powered by Boosting Algorithm

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Network Traffic Intrusion Detection

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A novel time efficient learning-based approach for smart intrusion detection system

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A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance

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