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A wrapper‐based feature selection for improving performance of intrusion detection systems

https://doi.org/10.1002/dac.4434
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Feature selection for intrusion detection using new multi-objective estimation of distribution algorithms
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Improved K-means algorithm based on hybrid fruit fly optimization and differential evolution
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Overview of intrusion detection using data-mining and the features selection
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Hybridization of Fruit Fly Optimization Algorithm and Firefly Algorithm for Solving Nonlinear Programming Problems
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A Comparative Study on the Feature Selection Techniques for Intrusion Detection System

What points at this work

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

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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches
inferred← citeshttps://doi.org/10.3390/electronics14020231openalex-snapshot
An Improved Binary Simulated Annealing Algorithm and TPE-FL-LightGBM for Fast Network Intrusion Detection
inferred← citeshttps://doi.org/10.3390/jcp3030023openalex-snapshot
A Deep Learning Approach for Network Intrusion Detection Using a Small Features Vector
inferred← citeshttps://doi.org/10.3390/math10152770openalex-snapshot
Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data
inferred← citeshttps://doi.org/10.3390/s23094430openalex-snapshot
Enhancing Intrusion Detection Systems for IoT and Cloud Environments Using a Growth Optimizer Algorithm and Conventional Neural Networks
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Hybrid Sequential Feature Selection with Ensemble Boosting Class-based Classification Method
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Effects of Feature Selection and Normalization on Network Intrusion Detection
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Enhancing Cybersecurity: Innovative Hybrid Feature Selection for Intrusion Detection
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The data preprocessing in improving the classification quality of network intrusion detection systems
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Exploring Lightweight Deep Learning Techniques for Intrusion Detection Systems in IoT Networks: A Survey
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Feature selection for intrusion detection based on an improved rime optimization algorithm
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