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Building Lightweight Intrusion Detection System Based on Random Forest

https://doi.org/10.1007/11760191_33
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11427469_67openalex-snapshot
Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System
inferredcites →https://doi.org/10.1007/11599548_24openalex-snapshot
Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection
inferredcites →https://doi.org/10.1007/3-211-27389-1_110openalex-snapshot
Model Selection for Kernel Based Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/3-540-45665-1openalex-snapshot
Pattern recognition with support vector machines : First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002 : proceedings
inferredcites →https://doi.org/10.1007/3-540-45665-1_15openalex-snapshot
Anomaly Detection Enhanced Classification in Computer Intrusion Detection
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1007/978-1-4471-0409-4_3openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1007/978-3-540-71618-1_54openalex-snapshot
A Model of Non-elemental Associative Learning in the Mushroom Body Neuropil of the Insect Brain
inferredcites →https://doi.org/10.1007/b136478openalex-snapshot
Advances in Neural Networks – ISNN 2005
inferredcites →https://doi.org/10.1016/s0925-2312(03)00431-4openalex-snapshot
The support vector machine under test
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/hicss.2003.1174909openalex-snapshot
Applications of hidden Markov models to detecting multi-stage network attacks
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/10.1109/secpri.2002.1004378openalex-snapshot
Stateful intrusion detection for high-speed network's
inferredcites →https://doi.org/10.1145/1046192.1046223openalex-snapshot
Efficient packet classification for network intrusion detection using FPGA
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.3233/ida-2004-8406openalex-snapshot
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set

What points at this work

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

inferred← citeshttps://doi.org/10.1002/int.22397openalex-snapshot
Enhancing intrusion detection with feature selection and neural network
inferred← citeshttps://doi.org/10.1007/11937807_13openalex-snapshot
Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System
inferred← citeshttps://doi.org/10.1007/978-1-4614-7597-2_2openalex-snapshot
Bridging the Semantic Gap: Human Factors in Anomaly-Based Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-52067-0_28openalex-snapshot
An Artificial Intelligence Resiliency System (ARS)
inferred← citeshttps://doi.org/10.1007/978-3-319-90775-8_28openalex-snapshot
Probability Risk Identification Based Intrusion Detection System for SCADA Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-39068-5_74openalex-snapshot
Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions
inferred← citeshttps://doi.org/10.1007/s11277-021-09393-0openalex-snapshot
Diverse Analysis of Data Mining and Machine Learning Algorithms to Secure Computer Network
inferred← citeshttps://doi.org/10.1007/s12205-019-0336-3openalex-snapshot
RSVRs based on Feature Extraction: A Novel Method for Prediction of Construction Projects’ Costs
inferred← citeshttps://doi.org/10.1016/j.ins.2016.06.038openalex-snapshot
Anomalous query access detection in RBAC-administered databases with random forest and PCA
inferred← citeshttps://doi.org/10.1080/01431161.2010.543182openalex-snapshot
Discriminating the papyrus vegetation (Cyperus papyrusL.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP
inferred← citeshttps://doi.org/10.1088/1742-6596/887/1/012031openalex-snapshot
Hybrid feature selection for supporting lightweight intrusion detection systems
inferred← citeshttps://doi.org/10.1109/cse.2009.180openalex-snapshot
Lightweight IDS Based on Features Selection and IDS Classification Scheme
inferred← citeshttps://doi.org/10.1109/ias.2008.35openalex-snapshot
Ensemble of One-Class Classifiers for Network Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/ijcnn.2008.4634231openalex-snapshot
AdaBoost algorithm with random forests for predicting breast cancer survivability
inferred← citeshttps://doi.org/10.1109/jiot.2023.3344842openalex-snapshot
Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
inferred← citeshttps://doi.org/10.1109/mipro.2015.7160479openalex-snapshot
Artificial intelligence in network intrusion detection
inferred← citeshttps://doi.org/10.1109/sds.2018.8370423openalex-snapshot
Machine learning for network resilience: The start of a journey
inferred← citeshttps://doi.org/10.1145/3374135.3385285openalex-snapshot
COMB
inferred← citeshttps://doi.org/10.1371/journal.pone.0201904openalex-snapshot
On the overestimation of random forest’s out-of-bag error
inferred← citeshttps://doi.org/10.1520/jte20130212openalex-snapshot
Integrating Nonlinear Dimensionality Reduction with Random Forests for Financial Distress Prediction
inferred← citeshttps://doi.org/10.3390/rs14030762openalex-snapshot
Bamboo Forest Mapping in China Using the Dense Landsat 8 Image Archive and Google Earth Engine
inferred← citeshttps://doi.org/10.3390/s16030281openalex-snapshot
A New MAC Address Spoofing Detection Technique Based on Random Forests
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.267.308openalex-snapshot
An Effective Intrusion Detection Model Based on Random Forest and Neural Networks
inferred← citeshttps://doi.org/10.5897/ajbm11.802openalex-snapshot
Information disclosure prediction using a combined rough set theory and random forests approach
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