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A new network intrusion detection algorithm: DA‐ROS‐ELM

https://doi.org/10.1002/tee.22606
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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/andp.201100250openalex-snapshot
Dynamical mean‐field theory for correlated electrons
inferredcites →https://doi.org/10.1007/978-3-642-39065-4_21openalex-snapshot
A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression
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.cor.2004.03.019openalex-snapshot
Application of SVM and ANN for intrusion detection
inferredcites →https://doi.org/10.1016/j.eswa.2010.06.066openalex-snapshot
A novel intrusion detection system based on hierarchical clustering and support vector machines
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.ins.2007.11.028openalex-snapshot
A hybrid artificial immune system and Self Organising Map for network intrusion detection
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1016/j.neunet.2004.07.002openalex-snapshot
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
inferredcites →https://doi.org/10.1016/j.patcog.2003.09.011openalex-snapshot
A genetic clustering method for intrusion detection
inferredcites →https://doi.org/10.1109/cidm.2009.4938676openalex-snapshot
Regularized Extreme Learning Machine
inferredcites →https://doi.org/10.1109/cisda.2009.5356528openalex-snapshot
A detailed analysis of the KDD CUP 99 data set
inferredcites →https://doi.org/10.1109/cita.2011.5999520openalex-snapshot
Intrusion detection based on K-Means clustering and Naïve Bayes classification
inferredcites →https://doi.org/10.1109/icee.2010.327openalex-snapshot
A Clustering Algorithm Use SOM and K-Means in Intrusion Detection
inferredcites →https://doi.org/10.1109/ijcnn.2004.1380068openalex-snapshot
Extreme learning machine: a new learning scheme of feedforward neural networks
inferredcites →https://doi.org/10.1109/ijcnn.2010.5596532openalex-snapshot
Application of artificial neural networks and related techniques to intrusion detection
inferredcites →https://doi.org/10.1109/tnn.2006.875977openalex-snapshot
Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes
inferredcites →https://doi.org/10.1109/tnn.2006.880583openalex-snapshot
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
Extreme Learning Machine for Regression and Multiclass Classification
inferredcites →https://doi.org/10.1109/tsmcc.2011.2169011openalex-snapshot
Guest Editorial Foreword to the Special Issue on Semantics-Enabled Software Engineering
inferredcites →https://doi.org/10.1371/journal.pone.0120976openalex-snapshot
Network Intrusion Detection Based on a General Regression Neural Network Optimized by an Improved Artificial Immune Algorithm
inferredcites →https://doi.org/10.2307/2288958openalex-snapshot
Classical and Modern Regression With Applications.

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.5690openalex-snapshot
A novel intrusion detection method based on threshold modification using receiver operating characteristic curve
inferred← citeshttps://doi.org/10.1002/tee.22987openalex-snapshot
Intrusion detection system based on improved abc algorithm with tabu search
inferred← citeshttps://doi.org/10.1007/s00500-022-07745-xopenalex-snapshot
A combination of ridge and Liu regressions for extreme learning machine
inferred← citeshttps://doi.org/10.1007/s00521-021-05806-0openalex-snapshot
LL-ELM: A regularized extreme learning machine based on $$L_{1}$$-norm and Liu estimator
inferred← citeshttps://doi.org/10.1007/s11277-021-08446-8openalex-snapshot
Detection for Nodes Intrusion of Compressed Transmission Data Based on Fuzzy Analytic Hierarchy Process
inferred← citeshttps://doi.org/10.1109/access.2020.3047933openalex-snapshot
Intrusion Detection System Based on Gradient Corrected Online Sequential Extreme Learning Machine
inferred← citeshttps://doi.org/10.1109/access.2021.3075066openalex-snapshot
Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework
inferred← citeshttps://doi.org/10.1109/ccssp49278.2020.9151607openalex-snapshot
Regularized Length Changeable Extreme Learning Machine with Incremental Learning Enhancements for Remaining Useful Life Prediction of Aircraft Engines
inferred← citeshttps://doi.org/10.1186/s13638-023-02297-6openalex-snapshot
RETRACTED ARTICLE: Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks
inferred← citeshttps://doi.org/10.14311/nnw.2018.28.012openalex-snapshot
AN ADAPTIVE ONLINE SEQUENTIAL EXTREME LEARNING MACHINE FOR SHORT-TERM WIND SPEED PREDICTION BASED ON IMPROVED ARTIFICIAL BEE COLONY ALGORITHM
inferred← citeshttps://doi.org/10.23919/ccc50068.2020.9188985openalex-snapshot
A Novel Cyber-attack Detection Approach based on Kernel Extreme Learning Machine using FR-Conjugate Gradient
inferred← citeshttps://doi.org/10.23919/chicc.2019.8865258openalex-snapshot
A Novel Intrusion Detection System based on Extreme Machine Learning and Multi-Voting Technology
inferred← citeshttps://doi.org/10.3390/en12071223openalex-snapshot
Research on Network Intrusion Detection Based on Incremental Extreme Learning Machine and Adaptive Principal Component Analysis
inferred← citeshttps://doi.org/10.34074/ctz.2412openalex-snapshot
Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold
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