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Enhancing intrusion detection with feature selection and neural network

https://doi.org/10.1002/int.22397
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Elements of Information Theory
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Adaptive machine learning‐based alarm reduction via edge computing for distributed intrusion detection systems
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Neural Network Techniques for Host Anomaly Intrusion Detection Using Fixed Pattern Transformation
inferredcites →https://doi.org/10.1007/11760191_33openalex-snapshot
Building Lightweight Intrusion Detection System Based on Random Forest
inferredcites →https://doi.org/10.1007/11760191_35openalex-snapshot
Intrusion Detection Using PCASOM Neural Networks
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An Anomaly Intrusion Detection Approach Using Cellular Neural Networks
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The Elements of Statistical Learning
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Selecting Features for Anomaly Intrusion Detection: A Novel Method using Fuzzy C Means and Decision Tree Classification
inferredcites →https://doi.org/10.1007/978-3-540-45235-5_73openalex-snapshot
Network-Based Intrusion Detection with Support Vector Machines
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/10.1007/978-3-540-71549-8_12openalex-snapshot
TCM-KNN Algorithm for Supervised Network Intrusion Detection
inferredcites →https://doi.org/10.1007/978-3-540-74742-0_30openalex-snapshot
A Distributed Hebb Neural Network for Network Anomaly Detection
inferredcites →https://doi.org/10.1007/978-3-540-74827-4_18openalex-snapshot
Network-Based Anomaly Intrusion Detection Improvement by Bayesian Network and Indirect Relation
inferredcites →https://doi.org/10.1007/978-3-642-01507-6_8openalex-snapshot
Network Intrusion Detection with Workflow Feature Definition Using BP Neural Network
inferredcites →https://doi.org/10.1007/978-3-642-01510-6_84openalex-snapshot
Community Intrusion Detection System Based on Radial Basic Probabilistic Neural Network
inferredcites →https://doi.org/10.1007/978-3-642-02397-2_4openalex-snapshot
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks
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/10.1007/978-3-642-35362-8_36openalex-snapshot
Intrusion Detection Using Disagreement-Based Semi-supervised Learning: Detection Enhancement and False Alarm Reduction
inferredcites →https://doi.org/10.1007/978-3-642-39068-5_74openalex-snapshot
Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions
inferredcites →https://doi.org/10.1007/s10115-017-1034-4openalex-snapshot
Toward intrusion detection using belief decision trees for big data
inferredcites →https://doi.org/10.1016/j.comcom.2005.01.014openalex-snapshot
Application of online-training SVMs for real-time intrusion detection with different considerations
inferredcites →https://doi.org/10.1016/j.comnet.2018.11.010openalex-snapshot
Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection
inferredcites →https://doi.org/10.1016/j.comnet.2019.107042openalex-snapshot
Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
inferredcites →https://doi.org/10.1016/j.comnet.2020.107247openalex-snapshot
Building an efficient intrusion detection system based on feature selection and ensemble classifier
inferredcites →https://doi.org/10.1016/j.compeleceng.2019.06.013openalex-snapshot
Detecting malicious nodes via gradient descent and support vector machine in Internet of Things
inferredcites →https://doi.org/10.1016/j.cose.2014.06.006openalex-snapshot
Selection of Candidate Support Vectors in incremental SVM for network intrusion detection
inferredcites →https://doi.org/10.1016/j.cose.2016.11.004openalex-snapshot
A survey of intrusion detection systems based on ensemble and hybrid classifiers
inferredcites →https://doi.org/10.1016/j.cose.2019.05.022openalex-snapshot
A novel approach to intrusion detection using SVM ensemble with feature augmentation
inferredcites →https://doi.org/10.1016/j.cose.2020.101752openalex-snapshot
A deep learning method with wrapper based feature extraction for wireless intrusion detection system
inferredcites →https://doi.org/10.1016/j.cose.2020.101851openalex-snapshot
Building Auto-Encoder Intrusion Detection System based on random forest feature selection
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.141openalex-snapshot
Incremental SVM based on reserved set for network intrusion detection
inferredcites →https://doi.org/10.1016/j.jnca.2016.03.011openalex-snapshot
Ensemble based collaborative and distributed intrusion detection systems: A survey
inferredcites →https://doi.org/10.1016/j.jnca.2018.12.006openalex-snapshot
A holistic review of Network Anomaly Detection Systems: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.jnca.2020.102767openalex-snapshot
Deep learning methods in network intrusion detection: A survey and an objective comparison
inferredcites →https://doi.org/10.1016/s0004-3702(03)00079-1openalex-snapshot
Consistency-based search in feature selection
inferredcites →https://doi.org/10.1016/s1389-1286(99)00112-7openalex-snapshot
Bro: a system for detecting network intruders in real-time
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1080/0952813x.2018.1509379openalex-snapshot
I-AHSDT: intrusion detection using adaptive dynamic directive operative fractional lion clustering and hyperbolic secant-based decision tree classifier
inferredcites →https://doi.org/10.1080/18756891.2013.802114openalex-snapshot
Enhancing False Alarm Reduction Using Voted Ensemble Selection in Intrusion Detection
inferredcites →https://doi.org/10.1109/cec.2011.5949682openalex-snapshot
Binary PSO and random forests algorithm for PROBE attacks detection in a network
inferredcites →https://doi.org/10.1109/icmlc.2011.6016798openalex-snapshot
The practice on using machine learning for network anomaly intrusion detection
inferredcites →https://doi.org/10.1109/icnc.2010.5583161openalex-snapshot
IABA: An improved PNN Algorithm for anomaly detection in network security management
inferredcites →https://doi.org/10.1109/ijcnn.2009.5178592openalex-snapshot
Neural Network based Intrusion Detection System for critical infrastructures
inferredcites →https://doi.org/10.1109/tsmcb.2005.860136openalex-snapshot
Evolutionary neural networks for anomaly detection based on the behavior of a program
inferredcites →https://doi.org/10.1145/1390156.1390169openalex-snapshot
An empirical evaluation of supervised learning in high dimensions
inferredcites →https://doi.org/10.1145/3178582openalex-snapshot
A Survey of Random Forest Based Methods for Intrusion Detection Systems
inferredcites →https://doi.org/10.3390/fi12030044openalex-snapshot
RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks

What points at this work

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

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Ensemble mutation slime mould algorithm with restart mechanism for feature selection
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Progressive selection‐channel networks for image steganalysis
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Reasoning and tracing of information security events in the expressway networking system based on deep learning
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Privacy‐preserving CNN feature extraction and retrieval over medical images
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An effective and practical gradient inversion attack
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Label‐only membership inference attacks on machine unlearning without dependence of posteriors
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Graph‐based Bayesian network conditional normalizing flows for multiple time series anomaly detection
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An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP
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Efficient Feature Selection and Deep Learning for Enhanced Intrusion Detection Using the NSL-KDD Dataset
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Intrusion Detection System on New Feature Selection Techniques with BFO
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A Deep Reinforcement Learning Framework for Robust Maritime Collision Avoidance Under GPS Spoofing
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