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Intrusion detection system based on improved abc algorithm with tabu search

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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/tee.21836openalex-snapshot
An efficient class association rule‐pruning method for unified intrusion detection system using genetic algorithm
inferredcites →https://doi.org/10.1002/tee.22606openalex-snapshot
A new network intrusion detection algorithm: DA‐ROS‐ELM
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/10.1016/j.amc.2014.04.039openalex-snapshot
Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy
inferredcites →https://doi.org/10.1016/j.asoc.2012.04.020openalex-snapshot
A hybrid network intrusion detection system using simplified swarm optimization (SSO)
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.2018.01.023openalex-snapshot
A novel architecture combined with optimal parameters for back propagation neural networks applied to anomaly network intrusion detection
inferredcites →https://doi.org/10.1016/j.engappai.2006.09.005openalex-snapshot
A hierarchical SOM-based intrusion detection system
inferredcites →https://doi.org/10.1016/j.eswa.2009.05.029openalex-snapshot
Intrusion detection by machine learning: A review
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.future.2017.01.029openalex-snapshot
A novel statistical technique for intrusion detection systems
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.2016.03.031openalex-snapshot
An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization
inferredcites →https://doi.org/10.1016/j.neucom.2016.06.021openalex-snapshot
A two-level hybrid approach for intrusion detection
inferredcites →https://doi.org/10.1080/08874417.2017.1418631openalex-snapshot
Privacy and security in the big data paradigm
inferredcites →https://doi.org/10.1109/access.2018.2810198openalex-snapshot
An Improved Intrusion Detection Algorithm Based on GA and SVM
inferredcites →https://doi.org/10.1109/icct.2012.6511281openalex-snapshot
Intrusion Detection System using decision tree algorithm
inferredcites →https://doi.org/10.1109/tcyb.2017.2772250openalex-snapshot
A Decomposition-Based Many-Objective Artificial Bee Colony Algorithm
inferredcites →https://doi.org/10.1109/ubmk.2017.8093378openalex-snapshot
An intrusion detection system based on a hybrid Tabu-genetic algorithm
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.2991/msam-17.2017.43openalex-snapshot
Efficient K-means Algorithm in Intrusion Detection
inferredcites →https://doi.org/10.3837/tiis.2017.08.016openalex-snapshot
A Novel Kernel SVM Algorithm with Game Theory for Network Intrusion Detection
inferredcites →https://doi.org/10.3906/elk-1302-53openalex-snapshot
A new feature selection model based on ID3 and bees algorithm for intrusion detection system
inferredcites →https://doi.org/10.3906/elk-1702-279openalex-snapshot
Modified stacking ensemble approach to detect network intrusion

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-15-9129-7_21openalex-snapshot
Hyperparameter Optimization of ICS Intrusion Detection Classifier Based on Improved Hybrid Algorithm
inferred← citeshttps://doi.org/10.1007/978-981-97-7344-2_5openalex-snapshot
Integrating Artificial Bee Colony Algorithms for Deep Learning Model Optimization: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s11831-023-10059-2openalex-snapshot
A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past, Present and Future
inferred← citeshttps://doi.org/10.1016/j.csi.2023.103808openalex-snapshot
An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
inferred← citeshttps://doi.org/10.1016/j.micpro.2022.104752openalex-snapshot
SPA-IDS: An intelligent intrusion detection system based on vertical mode decomposition and iterative feature selection in computer networks
inferred← citeshttps://doi.org/10.1109/i2ct51068.2021.9417961openalex-snapshot
An Effective Lightweight Intrusion Detection System with Blockchain to Mitigate Attacks in SDN/NFV Enabled Cloud
inferred← citeshttps://doi.org/10.1109/icaic63015.2025.10848880openalex-snapshot
Artificial Bee Colony Optimization Techniques’ Utilization for Intrusion Detection Systems’ Analysis
inferred← citeshttps://doi.org/10.1109/nana60121.2023.00098openalex-snapshot
Man-machine Cooperative Monitoring System to Support Detection of DoS/DDoS Attacks Through Continuous SOM Diagram Generation
inferred← citeshttps://doi.org/10.3390/appliedmath4040081openalex-snapshot
A Two-Stage Feature Selection Approach Based on Artificial Bee Colony and Adaptive LASSO in High-Dimensional Data
inferred← citeshttps://doi.org/10.3390/rs15051404openalex-snapshot
Performance of Multiple Models for Estimating Rodent Activity Intensity in Alpine Grassland Using Remote Sensing
inferred← citeshttps://doi.org/10.3390/sym12030410openalex-snapshot
Artificial Intelligence in the Cyber Domain: Offense and Defense
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