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Decision tree classifier for network intrusion detection with GA-based feature selection

https://doi.org/10.1145/1167253.1167288
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-39945-3_6openalex-snapshot
Adaptive, Model-Based Monitoring for Cyber Attack Detection
inferredcites →https://doi.org/10.1007/3-540-45110-2_108openalex-snapshot
Genetic Algorithm Optimized Feature Transformation — A Comparison with Different Classifiers
inferredcites →https://doi.org/10.1007/3-540-45116-1_1openalex-snapshot
An Intelligent Decision Support System for Intrusion Detection and Response
inferredcites →https://doi.org/10.1007/978-1-4615-5725-8_3openalex-snapshot
The Wrapper Approach
inferredcites →https://doi.org/10.1007/978-3-540-45248-5_10openalex-snapshot
Using Decision Trees to Improve Signature-Based Intrusion Detection
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50045-1openalex-snapshot
Automatic Parameter Selection by Minimizing Estimated Error
inferredcites →https://doi.org/10.1016/s0898-1221(99)90021-4openalex-snapshot
Feature extraction, construction and selection: A data mining perspective
inferredcites →https://doi.org/10.1109/csac.1999.816048openalex-snapshot
An application of machine learning to network intrusion detection
inferredcites →https://doi.org/10.1109/saint.2001.905162openalex-snapshot
Proceedings 2001 Symposium on Applications and the Internet
inferredcites →https://doi.org/10.1109/saint.2003.1183050openalex-snapshot
Identifying important features for intrusion detection using support vector machines and neural networks
inferredcites →https://doi.org/10.1111/j.0824-7935.2004.00247.xopenalex-snapshot
Detecting New Forms of Network Intrusion Using Genetic Programming
inferredcites →https://doi.org/10.1145/225298.225326openalex-snapshot
On genetic algorithms
inferredcites →https://doi.org/10.1145/846183.846200openalex-snapshot
Winning the KDD99 classification cup
inferredcites →https://doi.org/10.1145/846183.846201openalex-snapshot
KDD-99 classifier learning contest LLSoft's results overview
inferredcites →https://doi.org/10.1145/846183.846202openalex-snapshot
The MP13 approach to the KDD'99 classifier learning contest
inferredcites →https://doi.org/10.1145/967900.967989openalex-snapshot
Naive Bayes vs decision trees in intrusion detection systems
inferredcites →https://doi.org/10.2307/2669967openalex-snapshot
Feature Extraction Construction and Selection: A Data Mining Perspective
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
inferredcites →https://doi.org/10.9746/sicetr1965.35.415openalex-snapshot
Feature Extraction Using Genetic Algorithms

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

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ML based Parkinson’s Disease Identification using Gait Parameters
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Machine Learning Approach for Cybersecurity Implementation
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An improved Hidden Markov Model for anomaly detection using frequent common patterns
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Protocol Specific Multi-Threaded Network Intrusion Detection System (PM-NIDS) for DoS/DDoS Attack Detection in Cloud
inferred← citeshttps://doi.org/10.1109/iccp.2016.7737135openalex-snapshot
Tuning model parameters through a Genetic Algorithm approach
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Based on GA algorithm direction γ-phase-shaped craft-oriented finite element analysis
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Based on wavelet adaptive finite element analysis
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Enhancing Pedestrian Traffic Analysis with Fuzzy Clustering and WEKA Data Mining Techniques
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A graph-based clustering algorithm for anomaly intrusion detection
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The Metering Automation System based Intrusion Detection Using Random Forest Classifier with SMOTE+ENN
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Type-II Diabetes detection using Decision-tree based Ensemble of Classifiers
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CoCoST: A Computational Cost Efficient Classifier
inferred← citeshttps://doi.org/10.1109/icdmw.2012.56openalex-snapshot
Genetic Algorithm Based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks
inferred← citeshttps://doi.org/10.1109/icears64219.2025.10940401openalex-snapshot
Enhancing Cloud Security with Machine Learning: Tackling Data Breaches and Insider Threats
inferred← citeshttps://doi.org/10.1109/icicisys.2009.5357835openalex-snapshot
Simulation of microstructure defects creep on nickel-based superalloys by Genetic Algorithm
inferred← citeshttps://doi.org/10.1109/icissec.2016.7885853openalex-snapshot
Feasibility of Supervised Machine Learning for Cloud Security
inferred← citeshttps://doi.org/10.1109/icitst.2014.7038840openalex-snapshot
Empirical study of automatic dataset labelling
inferred← citeshttps://doi.org/10.1109/icoac48765.2019.246846openalex-snapshot
Optimal Feature Selection for Intrusion Detection in Medical Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1109/icoin48656.2020.9016599openalex-snapshot
A Gated Few-shot Learning Model For Anomaly Detection
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Accuracy of Comparison Random Forest, Gradient Boosting Tree, Decision Tree, and Naïve Bayes Algorithms in Predicting the Size of Companies Where Data Scientist Works
inferred← citeshttps://doi.org/10.1109/icscss60660.2024.10625631openalex-snapshot
Predictive Modeling for Network Anomaly Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1109/ictcs.2019.8923067openalex-snapshot
Optimized Multi - Layer Hierarchical Network Intrusion Detection System with Genetic Algorithms
inferred← citeshttps://doi.org/10.1109/ictel.2010.5478852openalex-snapshot
Identifying important characteristics in the KDD99 intrusion detection dataset by feature selection using a hybrid approach
inferred← citeshttps://doi.org/10.1109/ictta.2008.4530270openalex-snapshot
Selecting the Best Set of Features for Efficient Intrusion Detection in 802.11 Networks
inferred← citeshttps://doi.org/10.1109/iiki65561.2024.00033openalex-snapshot
Binary Logistic Regression based Intrusion Detection System for CAN bus Security
inferred← citeshttps://doi.org/10.1109/ijcnn.2009.5178592openalex-snapshot
Neural Network based Intrusion Detection System for critical infrastructures
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8488987openalex-snapshot
Character-Level Intrusion Detection Based On Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/indicon.2015.7443533openalex-snapshot
Intrusion Detection Systems using Linear Discriminant Analysis and Logistic Regression
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Comparative Study of Classifiers on Human Activity Recognition by Different Feature Engineering Techniques
inferred← citeshttps://doi.org/10.1109/iscc.2018.8538524openalex-snapshot
Enabling Anomaly-based Intrusion Detection Through Model Generalization
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A Novel Framework for Secure Cloud Computing Based IDS Using Machine Learning Techniques
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Supervised Machine Learning for Cloud Security
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Towards resilient critical infrastructures: Application of Type-2 Fuzzy Logic in embedded network security cyber sensor
inferred← citeshttps://doi.org/10.1109/isrcs.2012.6309292openalex-snapshot
Improving cyber-security of smart grid systems via anomaly detection and linguistic domain knowledge
inferred← citeshttps://doi.org/10.1109/itis59651.2023.10420319openalex-snapshot
Optimization of Binary Classification Based on Receiver Operating Characteristic Area Under the Curve for Supervised Machine Learning
inferred← citeshttps://doi.org/10.1109/macs48846.2019.9024829openalex-snapshot
A mathematical Model for Selecting Features of Flooding Attacks Detection Methods based on Stability Criterion
inferred← citeshttps://doi.org/10.1109/milcom.2014.17openalex-snapshot
Automatic Dataset Labelling and Feature Selection for Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/nas.2013.49openalex-snapshot
An Effective Feature Selection Approach for Network Intrusion Detection
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Understanding botclouds from a system perspective: A principal component analysis
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Eigenvalues of Hankel Matrix based Epilepsy Detection using EEG Signals
inferred← citeshttps://doi.org/10.1109/pervasive.2015.7087051openalex-snapshot
Use of rule base data mining algorithm for intrusion detection
inferred← citeshttps://doi.org/10.1109/rait.2016.7507909openalex-snapshot
Multi-objective Genetic Algorithm setup for feature subset selection in clustering
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Active Learning for Intrusion Detection Systems
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Research on the Application of CRFs Based on Feature Sets in Network Intrusion Detection
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Detecting and Classifying Incoming Traffic in a Secure Cloud Computing Environment Using Machine Learning and Deep Learning System
inferred← citeshttps://doi.org/10.1109/swc57546.2023.10449077openalex-snapshot
Optimizing Diabetes Predictive Modeling with Automated Decision Trees
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Improved Transformer-Based Privacy-Preserving Architecture for Intrusion Detection in Secure V2X Communications
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Network intrusion detection using feature selection and Decision tree classifier
inferred← citeshttps://doi.org/10.1109/tevc.2022.3144419openalex-snapshot
Memristor Parallel Computing for a Matrix-Friendly Genetic Algorithm
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Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression
inferred← citeshttps://doi.org/10.1109/tpds.2009.142openalex-snapshot
Impact of Feature Reduction on the Efficiency of Wireless Intrusion Detection Systems
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An Intrusion Detection System Based on Polynomial Feature Correlation Analysis
inferred← citeshttps://doi.org/10.1109/tsp.2015.7296215openalex-snapshot
A feature selection approach implemented with the Binary Bat Algorithm applied for intrusion detection
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A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information
inferred← citeshttps://doi.org/10.1111/exsy.13546openalex-snapshot
Improved minority attack detection in Intrusion Detection System using efficient feature selection algorithms
inferred← citeshttps://doi.org/10.1117/12.2584499openalex-snapshot
Design of intrusion detection systems on the internet of things infrastructure using machine learning algorithms
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Evolvable malware
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