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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
sampling methods
biblio
A Learning-based Data Augmentation for Network Anomaly Detection
Submitted by aekwall on Mon, 03/29/2021 - 11:58am
security of data
Scalability
Data models
Support vector machines
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
neural nets
pattern classification
Anomaly Detection
network traffic
Generators
generative adversarial networks
generative adversarial network
Predictive Metrics
data handling
Gallium nitride
sampling methods
class imbalance problem
network anomaly detection
attack instances
augments data
data augmentation
data instances
Divide-Augment-Combine
divide-augment-combine strategy
generative adversarial model
high-quality data
learning-based data augmentation
network traffic traces
public network datasets
statistical sampling
synthetic instances
Generative Adversarial Learning
biblio
Sampling Time Adaptive Single-Photon Compressive Imaging
Submitted by aekwall on Mon, 09/14/2020 - 12:30pm
field programmable gate arrays
Time measurement
cyber-physical systems
Resiliency
pubcrawl
composability
privacy
Image coding
estimation
Photonics
Image reconstruction
compressive sampling
field-programmable gate array
image sampling
Imaging
light intensity estimation accuracy
sampling control module
sampling methods
sampling time
sampling-time-adaptive single-photon compressive imaging
self-adapting adjustment
single photon compressive imaging
threshold of light intensity estimation accuracy.
Time-adaptive sampling
time-adaptive sampling method
biblio
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data
Submitted by grigby1 on Fri, 08/28/2020 - 3:53pm
apache spark
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
Data mining
Geometric Mean
imbalanced data
learning (artificial intelligence)
machine learning
majority class
Measurement
metrics testing
Metrics
minority classes
pattern classification
Performance Metrics
Precision-Recall Curve
Predictive models
pubcrawl
Radio frequency
resilience
Resiliency
sampling
sampling distribution ratio
sampling methods
Scalability
severe class imbalance
severely imbalanced network security big data
Sparks
testing dataset roles
Training
biblio
A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks
Submitted by aekwall on Mon, 02/17/2020 - 2:42pm
Intrusion Detection
security of data
telecommunication traffic
Internet of Things
Protocols
nearest neighbour methods
feature extraction
machine learning
Resiliency
Human behavior
pubcrawl
Metrics
pattern classification
vulnerabilities
Training
Cybersecurity
Anomaly Detection
network traffic
vulnerability detection
Compositionality
IoT networks
anomaly detection system
CICIDS2017 dataset
edited nearest neighbors
flow-based anomaly detection
flow-based features extraction
flow-based intrusion detection
level-1 model
level-2 model precision
malicious activity detection
recursive feature elimination
sampling methods
synthetic minority over-sampling technique
two-level hybrid anomalous activity detection
UNSW-15 dataset
biblio
L-GEM based robust learning against poisoning attack
Submitted by grigby1 on Fri, 07/06/2018 - 2:05pm
Accuracy
adversarial learning
AI Poisoning
classifier output
farthest-first flips attack
Human behavior
L-GEM based robust learning
label flip poisoning attacks
learning (artificial intelligence)
learning process
localized generalization error bound
localized generalization error model
Localized Generalization Error Model (L-GEM)
nearest-first flips attack
Pattern recognition
perturbation
perturbation techniques
poisoning attack
pubcrawl
radial basis function networks
RBFNN
resampling
resilience
Resiliency
robust learning
Robustness
sampling methods
Scalability
Sensitivity
sensitivity analysis
Support vector machines
Training
wavelet analysis
biblio
"Single-channel compressive sampling of electrical data for non-intrusive load monitoring"
Submitted by grigby1 on Tue, 02/21/2017 - 12:39pm
Buildings
compressed sensing
Current measurement
Demodulation
electrical data
electrical signal
Frequency measurement
high frequency electrical measurement
Home appliances
Monitoring
NILM
nonintrusive load monitoring
power system measurement
pubcrawl170104
random demodulation
random filtering
sampling channel
sampling methods
sampling rate
single-channel compressive sampling
biblio
Probability Sampling Protocol for Thematic and Spatial Quality Assessment of Classification Maps Generated From Spaceborne/Airborne Very High Resolution Images
Submitted by BrandonB on Fri, 05/01/2015 - 8:05am
Accuracy
categorical variable pair similarity index
Contingency matrix
Decision trees
decision-tree
DigitalGlobe
Earth
error matrix
estimation
geographic information systems
geophysical image processing
Global Earth Observation System of Systems
Guidelines
image classification
inclusion probability
Indexes
land cover change (LCC) detection
land cover classification
measurement uncertainty
probability
probability sampling protocol
procedural knowledge
Protocols
QA4EO international guidelines
quality assessment
quality assurance
Quality Assurance Framework for Earth Observation guidelines
QuickBird-2 image
remote sensing
sampling methods
Satellite Image Automatic Mapper
SIAM preclassification maps
spaceborne/airborne very high resolution images
Spatial resolution
structural knowledge
subsymbolic object-based spatial quality indicators
symbolic pixel-based thematic quality indicators
thematic maps
WorldView-2 images
