FI-PCA for IoT Network Intrusion Detection
Author:
Affiliation:
1. 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey,Guildford,Surrey,U.K.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9851698/9851699/09851723.pdf?arnumber=9851723
Reference29 articles.
1. On deep learning as a remedy for the curse of dimensionality in nonparametric regression
2. Dimension Reduction by Local Principal Component Analysis
3. An investigation of classification algorithms for intrusion detection system — A quantitative approach
4. Enhancing performance of anomaly based intrusion detection systems through dimensionality reduction using principal component analysis
5. A Collaborative Intrusion Detection Model using a novel optimal weight strategy based on Genetic Algorithm for Ensemble Classifier
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2. A critical review of feature selection methods for machine learning in IoT security;International Journal of Communication Networks and Distributed Systems;2024
3. Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction;IEEE Access;2024
4. Comparison of Machine Learning-Based Intrusion Detection Systems Using UNSW-NB15 Dataset;Lecture Notes in Networks and Systems;2024
5. An Intrusion Detection Method Based on Hash Function for Industrial Cloud Data;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
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