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Feature Selection Algorithms in Intrusion Detection System: A Survey

https://doi.org/10.3837/tiis.2018.10.024

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11427469_71openalex-snapshot

Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree

inferredcites →https://doi.org/10.1007/11937807_13openalex-snapshot

Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System

inferredcites →https://doi.org/10.1007/978-3-319-05458-2_42openalex-snapshot

A Filter Based Feature Selection Approach in MSVM Using DCA and Its Application in Network Intrusion Detection

inferredcites →https://doi.org/10.1007/978-3-319-10975-6_21openalex-snapshot

Feature Grouping for Intrusion Detection System Based on Hierarchical Clustering

inferredcites →https://doi.org/10.1007/978-3-319-30348-2_7openalex-snapshot

Intrusion Detection Model Using Chi Square Feature Selection and Modified Naïve Bayes Classifier

inferredcites →https://doi.org/10.1007/978-3-540-74472-6_42openalex-snapshot

Feature Selection Using Rough-DPSO in Anomaly Intrusion Detection

inferredcites →https://doi.org/10.1007/978-3-642-10509-8_18openalex-snapshot

Intrusion Detection Based on Back-Propagation Neural Network and Feature Selection Mechanism

inferredcites →https://doi.org/10.1007/978-3-642-40576-1_26openalex-snapshot

Implementation and Embellishment of Prevention of Keylogger Spyware Attacks

inferredcites →https://doi.org/10.1007/978-81-322-2523-2_32openalex-snapshot

A Minimal Subset of Features Using Correlation Feature Selection Model for Intrusion Detection System

inferredcites →https://doi.org/10.1007/978-81-322-2731-1_9openalex-snapshot

Performance Evaluation of Rule Learning Classifiers in Anomaly Based Intrusion Detection

inferredcites →https://doi.org/10.1007/978-981-10-0281-6_71openalex-snapshot

A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems

inferredcites →https://doi.org/10.1007/s00521-013-1370-6openalex-snapshot

Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components

inferredcites →https://doi.org/10.1007/s10586-015-0527-8openalex-snapshot

A feature selection approach to find optimal feature subsets for the network intrusion detection system

inferredcites →https://doi.org/10.1007/s11042-015-3117-0openalex-snapshot

Towards accurate intrusion detection based on improved clonal selection algorithm

inferredcites →https://doi.org/10.1007/s11277-016-3676-zopenalex-snapshot

A Secure Group-Based Blackhole Node Detection Scheme for Hierarchical Wireless Sensor Networks

inferredcites →https://doi.org/10.1016/j.asoc.2009.06.019openalex-snapshot

The use of computational intelligence in intrusion detection systems: A review

inferredcites →https://doi.org/10.1016/j.asoc.2012.05.004openalex-snapshot

An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection

inferredcites →https://doi.org/10.1016/j.asoc.2015.10.011openalex-snapshot

A novel SVM-kNN-PSO ensemble method for intrusion detection system

inferredcites →https://doi.org/10.1016/j.cose.2008.08.003openalex-snapshot

Anomaly-based network intrusion detection: Techniques, systems and challenges

inferredcites →https://doi.org/10.1016/j.cose.2009.06.008openalex-snapshot

A survey of coordinated attacks and collaborative intrusion detection

inferredcites →https://doi.org/10.1016/j.cose.2017.06.005openalex-snapshot

A GA-LR wrapper approach for feature selection in network intrusion detection

inferredcites →https://doi.org/10.1016/j.eswa.2010.11.028openalex-snapshot

Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset

inferredcites →https://doi.org/10.1016/j.eswa.2011.07.032openalex-snapshot

An efficient intrusion detection system based on support vector machines and gradually feature removal method

inferredcites →https://doi.org/10.1016/j.eswa.2013.08.066openalex-snapshot

A novel hybrid intrusion detection method integrating anomaly detection with misuse detection

inferredcites →https://doi.org/10.1016/j.jksuci.2015.12.004openalex-snapshot

Intrusion detection model using fusion of chi-square feature selection and multi class SVM

inferredcites →https://doi.org/10.1016/j.jnca.2011.01.002openalex-snapshot

Mutual information-based feature selection for intrusion detection systems

inferredcites →https://doi.org/10.1016/j.jnca.2012.09.004openalex-snapshot

Intrusion detection system: A comprehensive review

inferredcites →https://doi.org/10.1016/j.jocs.2017.03.006openalex-snapshot

Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model

inferredcites →https://doi.org/10.1016/j.knosys.2014.08.013openalex-snapshot

Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps

inferredcites →https://doi.org/10.1016/j.knosys.2017.07.005openalex-snapshot

An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

inferredcites →https://doi.org/10.1016/j.neucom.2012.12.023openalex-snapshot

Designing of on line intrusion detection system using rough set theory and Q-learning algorithm

inferredcites →https://doi.org/10.1016/j.neunet.2017.01.012openalex-snapshot

A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems

inferredcites →https://doi.org/10.1016/j.patcog.2006.12.009openalex-snapshot

Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection

inferredcites →https://doi.org/10.1016/j.procs.2014.07.037openalex-snapshot

A Multicriterion Fuzzy Classification Method with Greedy Attribute Selection for Anomaly-based Intrusion Detection

inferredcites →https://doi.org/10.1016/j.procs.2015.03.174openalex-snapshot

Feature Selection Based Hybrid Anomaly Intrusion Detection System Using K Means and RBF Kernel Function

inferredcites →https://doi.org/10.1016/j.procs.2016.05.203openalex-snapshot

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

inferredcites →https://doi.org/10.1080/09540091.2012.737765openalex-snapshot

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems

inferredcites →https://doi.org/10.1080/10556780600881910openalex-snapshot

Feature selection algorithms in classification problems: an experimental evaluation

inferredcites →https://doi.org/10.1109/cec.2014.6900472openalex-snapshot

An archive based particle swarm optimisation for feature selection in classification

inferredcites →https://doi.org/10.1109/cisda.2009.5356528openalex-snapshot

A detailed analysis of the KDD CUP 99 data set

inferredcites →https://doi.org/10.1109/cscs.2017.40openalex-snapshot

Comparative Study on Feature Selection Methods Rooted in Swarm Intelligence for Intrusion Detection

inferredcites →https://doi.org/10.1109/get.2016.7916729openalex-snapshot

An integrated intrusion detection model using consistency based feature selection and LPBoost

inferredcites →https://doi.org/10.1109/iccitechn.2015.7488089openalex-snapshot

FP-ANK: An improvised intrusion detection system with hybridization of neural network and K-means clustering over feature selection by PCA

inferredcites →https://doi.org/10.1109/icmlc.2005.1527615openalex-snapshot

Ant colony optimization based network intrusion feature selection and detection

inferredcites →https://doi.org/10.1109/icnsc.2017.8000162openalex-snapshot

Feature selection for flow-based intrusion detection using Rough Set Theory

inferredcites →https://doi.org/10.1109/iscid.2011.147openalex-snapshot

A Feature Selection Algorithm to Intrusion Detection Based on Cloud Model and Multi-Objective Particle Swarm Optimization

inferredcites →https://doi.org/10.1109/secon.2016.7506774openalex-snapshot

Reducing false positives in intrusion detection systems using data-mining techniques utilizing support vector machines, decision trees, and naive Bayes for off-line analysis

inferredcites →https://doi.org/10.1109/siu.2016.7495996openalex-snapshot

Genetic algorithm for intrusion detection system

inferredcites →https://doi.org/10.1109/smc.2013.422openalex-snapshot

A Hybrid Technique Using Multi-objective Particle Swarm Optimization and Random Forests for PROBE Attacks Detection in a Network

inferredcites →https://doi.org/10.1109/tkde.2005.136openalex-snapshot

A new dependency and correlation analysis for features

inferredcites →https://doi.org/10.1109/tkde.2005.66openalex-snapshot

Toward integrating feature selection algorithms for classification and clustering

inferredcites →https://doi.org/10.1145/382912.382923openalex-snapshot

Testing Intrusion detection systems

inferredcites →https://doi.org/10.1155/2015/806954openalex-snapshot

Feature Selection Using Particle Swarm Optimization in Intrusion Detection

inferredcites →https://doi.org/10.1186/1687-1499-2013-271openalex-snapshot

Intelligent feature selection and classification techniques for intrusion detection in networks: a survey

inferredcites →https://doi.org/10.14355/ijcsa.2014.0304.02openalex-snapshot

Intrusion Detection System Using Feature Selection and Classification Technique

inferredcites →https://doi.org/10.4218/etrij.11.0110.0237openalex-snapshot

Conditional Mutual Information-Based Feature Selection Analyzing for Synergy and Redundancy

inferredcites →https://doi.org/10.48550/arxiv.1305.2388openalex-snapshot

Fast Feature Reduction in intrusion detection datasets

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Protocol-Based Multi-Ensemble Classifier for Intrusion Detection Using Packet Header Fields

inferred← citeshttps://doi.org/10.1002/spy2.70142openalex-snapshot

Anomaly Based Network Intrusion Detection System Using Filter‐Based Hybrid Feature Selection and Stacking Classifier for IoT Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-93453-8_12openalex-snapshot

A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection Data

inferred← citeshttps://doi.org/10.1007/978-981-99-9486-1_40openalex-snapshot

Enhancing Network Security with Machine Learning-Based IDSs and IPSs: An Evaluation Using UNSW-NB15 Dataset

inferred← citeshttps://doi.org/10.1007/s11227-023-05444-4openalex-snapshot

Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems

inferred← citeshttps://doi.org/10.1007/s42979-025-04480-6openalex-snapshot

A Review on Feature Selection Techniques and its Significance on IoT IDS

inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109375openalex-snapshot

Intrusion detection technique based on flow aggregation and latent semantic analysis

inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107247openalex-snapshot

Building an efficient intrusion detection system based on feature selection and ensemble classifier

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107444openalex-snapshot

Ensemble classification using traffic flow metrics to predict distributed denial of service scope in the Internet of Things (IoT) networks

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113249openalex-snapshot

A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer

inferred← citeshttps://doi.org/10.1016/j.procs.2025.03.315openalex-snapshot

Advanced AI-Powered Intrusion Detection Systems in Cybersecurity Protocols for Network Protection

inferred← citeshttps://doi.org/10.1016/j.ymeth.2024.01.005openalex-snapshot

DBPboost:A method of classification of DNA-binding proteins based on improved differential evolution algorithm and feature extraction

inferred← citeshttps://doi.org/10.1088/1742-6596/1818/1/012053openalex-snapshot

A Proactive Model for Optimizing Swarm Search Algorithms for Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/access.2020.3004699openalex-snapshot

CBFS: A Clustering-Based Feature Selection Mechanism for Network Anomaly Detection

inferred← citeshttps://doi.org/10.1109/access.2022.3198654openalex-snapshot

Adaptive Binary Bat and Markov Clustering Algorithms for Optimal Text Feature Selection in News Events Detection Model

inferred← citeshttps://doi.org/10.1109/afros62115.2024.11036863openalex-snapshot

Equilibrium Optimizer for Feature Selection in Clustering

inferred← citeshttps://doi.org/10.1109/cecit53797.2021.00205openalex-snapshot

SSA-CFS:An Effective Feature Selection Method for Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/csnt54456.2022.9787626openalex-snapshot

A Novel Hybrid (Po-Thk) Method For Ids and Privacy-Preserving In Distributed Data Environment Using Metaheuristic Techniques

inferred← citeshttps://doi.org/10.1109/iccc62609.2024.10942191openalex-snapshot

An Intrusion Detection Method Based on Transfer Component Analysis and an Extreme Learning Machine

inferred← citeshttps://doi.org/10.1109/icdsic56987.2022.10075990openalex-snapshot

XSS Detection Using Hybrid Machine Learning Methods

inferred← citeshttps://doi.org/10.1109/icicis46948.2019.9014797openalex-snapshot

Filter Versus Wrapper Feature Selection for Network Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/icicis52592.2021.9694206openalex-snapshot

A wind turbine fault identification using machine learning approach based on pigeon inspired optimizer

inferred← citeshttps://doi.org/10.1109/iciea54703.2022.10005914openalex-snapshot

Anomaly Detection for Networked Motion Control Systems Using Finite-Time EID Approach

inferred← citeshttps://doi.org/10.1109/ictaacs48474.2019.8988137openalex-snapshot

Binary Firefly Algorithm for Feature Selection in Classification

inferred← citeshttps://doi.org/10.1109/iemtronics55184.2022.9795709openalex-snapshot

Feature Selection Algorithm Characterization for NIDS using Machine and Deep learning

inferred← citeshttps://doi.org/10.1109/ipccc51483.2021.9679417openalex-snapshot

The Diminished Importance of Connection-based Features in Intrusion Detection

inferred← citeshttps://doi.org/10.1109/nics54270.2021.9701577openalex-snapshot

An Ensemble Feature Selection Algorithm for Machine Learning based Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/sti56238.2022.10103298openalex-snapshot

Mutual Information on Low-rank Matrix for Effective Intrusion Detection

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Retracted on September 10, 2025: Regression analysis for network intrusion detection

inferred← citeshttps://doi.org/10.1155/2024/5536615openalex-snapshot

Intrusion Detection Model for Wireless Sensor Networks Based on FedAvg and XGBoost Algorithm

inferred← citeshttps://doi.org/10.11591/eei.v13i1.5844openalex-snapshot

Ensemble learning classifiers hybrid feature selection for enhancing performance of intrusion detection system

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System for Fusion of Face and Speech Modalities Using DTCWT+QFT and MFCC+RASTA Techniques

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A Privacy-Preserving Intrusion Detection System for IoT Networks Using Federated Learning

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Deep learning algorithms for cyber security applications: A survey

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Deep learning trends and future perspectives of web security and vulnerabilities

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Intrusion Detection System based on Chaotic Opposition for IoT Network

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Proposed Hybrid CorrelationFeatureSelectionForestPanalizedAttribute Approach to advance IDSs

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Cybersecurity in Smart Cities: Detection of Opposing Decisions on Anomalies in the Computer Network Behavior

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Numerical Feature Selection and Hyperbolic Tangent Feature Scaling in Machine Learning-Based Detection of Anomalies in the Computer Network Behavior

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MOCA: A Network Intrusion Monitoring and Classification System

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Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things

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Securing cloud-enabled smart cities by detecting intrusion using spark-based stacking ensemble of machine learning algorithms

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RTL-DL: A Hybrid Deep Learning Framework for DDoS Attack Detection in a Big Data Environment

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An Efficiency Optimization for Network Intrusion Detection System

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