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Harris hawk optimization trained artificial neural network for anomaly based intrusion detection system

https://doi.org/10.1002/cpe.7771
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Outgoing claims: the papers this work cites, builds on, or argues with.

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I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
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A novel intrusion detection mode based on understandable neural network trees
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A new evolutionary neural networks based on intrusion detection systems using locust swarm optimization
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Integrated Intrusion Detection Model Using Chi-Square Feature Selection and Ensemble of Classifiers
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HELAD: A novel network anomaly detection model based on heterogeneous ensemble learning
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An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset
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A GA-LR wrapper approach for feature selection in network intrusion detection
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SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism
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Hybrid intrusion detection system based on Dempster-Shafer evidence theory
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Binary grasshopper optimisation algorithm approaches for feature selection problems
inferredcites →https://doi.org/10.1016/j.eswa.2018.10.021openalex-snapshot
Efficient feature selection method using real-valued grasshopper optimization algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2019.112963openalex-snapshot
Application of deep reinforcement learning to intrusion detection for supervised problems
inferredcites →https://doi.org/10.1016/j.future.2019.02.028openalex-snapshot
Harris hawks optimization: Algorithm and applications
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Ensemble Detection Model for IoT IDS
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A Deep Learning Ensemble Approach to Detecting Unknown Network Attacks
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Intrusion detection model using fusion of chi-square feature selection and multi class SVM
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Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms
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Evolutionary artificial neural networks by multi-dimensional particle swarm optimization
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Computational neural network regression model for Host based Intrusion Detection System
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A New Intrusion Detection Approach using PSO based Multiple Criteria Linear Programming
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Distributed Intrusion Detection System for Cloud Environments based on Data Mining techniques
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Adaptive Intrusion Detection: A Data Mining Approach
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An empirical evaluation of teaching–learning-based optimization, genetic algorithm and particle swarm optimization
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The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set
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Deep Learning Approach for Intelligent Intrusion Detection System
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A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification
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IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction
inferredcites →https://doi.org/10.1109/cec.2011.5949602openalex-snapshot
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inferredcites →https://doi.org/10.1109/comst.2015.2402161openalex-snapshot
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inferredcites →https://doi.org/10.1109/icenco.2015.7416360openalex-snapshot
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inferredcites →https://doi.org/10.1109/icpr48806.2021.9412580openalex-snapshot
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
inferredcites →https://doi.org/10.1109/isiea.2009.5356382openalex-snapshot
Application of artificial neural network in detection of probing attacks
inferredcites →https://doi.org/10.1109/jiot.2021.3053842openalex-snapshot
Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems
inferredcites →https://doi.org/10.1109/milcis.2015.7348942openalex-snapshot
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
inferredcites →https://doi.org/10.1109/pci.2008.53openalex-snapshot
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inferredcites →https://doi.org/10.1109/smcsia.2003.1232430openalex-snapshot
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inferredcites →https://doi.org/10.1109/wincom.2016.7777224openalex-snapshot
Deep learning approach for Network Intrusion Detection in Software Defined Networking
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Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms
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IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset
inferredcites →https://doi.org/10.14257/ijsia.2015.9.4.23openalex-snapshot
Research on Intrusion Detection Algorithm Based on BP Neural Network
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Improving Intrusion Detection System using Artificial Neural Network
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Design of a MAGLEV System with PID Based Fuzzy Control Using CS Algorithm
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Performance Evaluation of Classification Algorithms for Intrusion Detection on NSL-KDD Using Rapid Miner
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Performance Investigation of Principal Component Analysis for Intrusion Detection System Using Different Support Vector Machine Kernels
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Effectiveness of Focal Loss for Minority Classification in Network Intrusion Detection Systems
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The Research of Network Intrusion Detection Technology Based on Genetic Algorithm and BP Neural Network
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Stacked Ensemble-IDS Using NSL-KDD Dataset
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Training Recurrent Neural Networks by a Hybrid PSO-Cuckoo Search Algorithm for Problems Optimization
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Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
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Training Artificial Neural Network Using Modification of Differential Evolution Algorithm

What points at this work

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

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Intelligent Network Security Optimization Algorithm Based on Cnns
inferred← citeshttps://doi.org/10.1002/cpe.70116openalex-snapshot
Cuckoo Search Algorithm With Ensemble Strategy for Continuous Optimization Problems
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Enhancing the Harris Hawks Optimization Algorithm With Ambush‐Based Operators for Feature Selection in UAV‐Based Intrusion Detection Systems
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An Exploratory Study on Application of Machine Learning in Detecting Cyberattacks
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An Evolutionary Method Combining with Isolation Forest for Anomaly Detection on High Dimensional Data
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An Adaptive Intrusion Detection System for WSN using Reinforcement Learning and Deep Classification
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The suspension load deviation control method for high-power locomotives via Harris Hawk optimization
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Intrusion detection systems in IoT: A detailed review of threat categories, detection strategies, and future technologies
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A Dynamic BPN-MLP Neural Network DDoS Detection Model Using Hybrid Swarm Intelligent Framework
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Mixed-Strategy Harris Hawk Optimization Algorithm for UAV Path Planning and Engineering Applications
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A Hybrid GA–PSO Framework for Neural Network Architecture and Parameter Optimization
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NSGTO‐LSTM: Niche‐strategy‐based gorilla troops optimization and long short‐term memory network intrusion detection model
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Enhancing iot network security through advanced data preprocessing and hybrid firefly-salp swarm optimized deep cnn-based intrusion detection
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