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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
imbalanced data
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
biblio
Network Intrusion Detection in Smart Grids for Imbalanced Attack Types Using Machine Learning Models
Submitted by grigby1 on Fri, 11/20/2020 - 2:05pm
imbalanced attack types
network intrusion detection
advanced metering infrastructure
imbalanced data
privacy concerns
machine learning models
smart meter
automatic meter reading
boosting
critical security service
generation power grid paradigm
Smart Grids
legacy information
low detection rates
ongoing attacks
smart grid systems
smart information
system operator
time information
time-of-use pricing
smart grid consumer privacy
policy-based governance
learning (artificial intelligence)
security of data
Training
machine learning
machine learning algorithms
Intrusion Detection
pubcrawl
Human behavior
Metrics
privacy
collaboration
resilience
Resiliency
security
Scalability
power engineering computing
Smart Grid
smart power grids
composability
biblio
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data
Submitted by grigby1 on Fri, 08/28/2020 - 3:53pm
sampling
pattern classification
Performance Metrics
Precision-Recall Curve
Predictive models
pubcrawl
Radio frequency
resilience
Resiliency
minority classes
sampling distribution ratio
sampling methods
Scalability
severe class imbalance
severely imbalanced network security big data
Sparks
testing dataset roles
Training
Data mining
Apache Spark framework
area under the receiver operating characteristic curve
Big Data
Big Data Analytics
big data security metrics
Cluster Computing
computer network security
data analysis
apache spark
Geometric Mean
imbalanced data
learning (artificial intelligence)
machine learning
majority class
Measurement
metrics testing
Metrics
