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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
low-dimensional features
biblio
Efficient Network Intrusion Detection Using PCA-Based Dimensionality Reduction of Features
Submitted by grigby1 on Tue, 12/01/2020 - 1:47pm
network traffic
learning (artificial intelligence)
low-dimensional features
machine learning
Measurement
minority class instances
multiclass classification show
multiclass combined performance metric
network intrusion detection system
IP networks
PCA
PCA-based dimensionality reduction
principal component analysis
pubcrawl
resilience
Resiliency
security of data
Support vector machines
feature dimensionality reduction approach
Bayesian network
belief networks
binary classification
CICIDS2017 network intrusion dataset
class distribution parameters
composability
detection rate
dimensionality reduction
Bayes methods
feature extraction
high-dimensional features
IDS
imbalanced class distributions
imbalanced data
imbalanced distribution
intrusion detection system
