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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
sampling methods
biblio
Skew-Tent Map Based CMOS Random Number Generator with Chaotic Sampling
Submitted by grigby1 on Thu, 06/30/2022 - 5:05pm
Immunity testing
switched-capacitor
skew-tent map
sampling methods
PL1D maps
discrete-time chaotic maps
chaotic sampling
Bit rate
random number generator
Semiconductor device modeling
chaotic cryptography
Cryptography
Power demand
Interference
integrated circuit
Metrics
NIST
Scalability
Resiliency
resilience
pubcrawl
biblio
A Learning-based Data Augmentation for Network Anomaly Detection
Submitted by aekwall on Mon, 03/29/2021 - 11:58am
divide-augment-combine strategy
sampling methods
class imbalance problem
network anomaly detection
attack instances
augments data
data augmentation
data instances
Divide-Augment-Combine
Gallium nitride
generative adversarial model
high-quality data
learning-based data augmentation
network traffic traces
public network datasets
statistical sampling
synthetic instances
Generative Adversarial Learning
pattern classification
Scalability
Data models
Support vector machines
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
neural nets
security of data
Anomaly Detection
network traffic
Generators
generative adversarial networks
generative adversarial network
Predictive Metrics
data handling
biblio
Sampling Time Adaptive Single-Photon Compressive Imaging
Submitted by aekwall on Mon, 09/14/2020 - 12:30pm
field-programmable gate array
time-adaptive sampling method
Time-adaptive sampling
threshold of light intensity estimation accuracy.
single photon compressive imaging
self-adapting adjustment
sampling-time-adaptive single-photon compressive imaging
sampling time
sampling methods
sampling control module
light intensity estimation accuracy
Imaging
image sampling
field programmable gate arrays
compressive sampling
Image reconstruction
Photonics
estimation
Image coding
privacy
composability
pubcrawl
Resiliency
cyber-physical systems
Time measurement
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
biblio
A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks
Submitted by aekwall on Mon, 02/17/2020 - 2:42pm
flow-based intrusion detection
vulnerability detection
Compositionality
IoT networks
anomaly detection system
CICIDS2017 dataset
edited nearest neighbors
flow-based anomaly detection
flow-based features extraction
network traffic
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
Human behavior
security of data
telecommunication traffic
Internet of Things
Protocols
nearest neighbour methods
feature extraction
machine learning
Resiliency
Intrusion Detection
pubcrawl
Metrics
pattern classification
vulnerabilities
Training
Cybersecurity
Anomaly Detection
biblio
L-GEM based robust learning against poisoning attack
Submitted by grigby1 on Fri, 07/06/2018 - 2:05pm
Robustness
poisoning attack
pubcrawl
radial basis function networks
RBFNN
resampling
resilience
Resiliency
robust learning
perturbation techniques
sampling methods
Scalability
Sensitivity
sensitivity analysis
Support vector machines
Training
wavelet analysis
Accuracy
perturbation
Pattern recognition
nearest-first flips attack
Localized Generalization Error Model (L-GEM)
localized generalization error model
localized generalization error bound
learning process
learning (artificial intelligence)
label flip poisoning attacks
L-GEM based robust learning
Human behavior
farthest-first flips attack
classifier output
AI Poisoning
adversarial learning
biblio
"Single-channel compressive sampling of electrical data for non-intrusive load monitoring"
Submitted by grigby1 on Tue, 02/21/2017 - 12:39pm
NILM
single-channel compressive sampling
sampling rate
sampling methods
sampling channel
random filtering
random demodulation
pubcrawl170104
power system measurement
nonintrusive load monitoring
Buildings
Monitoring
Home appliances
high frequency electrical measurement
Frequency measurement
electrical signal
electrical data
Demodulation
Current measurement
compressed sensing
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
sampling methods
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
probability
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
geophysical image processing
categorical variable pair similarity index
Contingency matrix
Decision trees
decision-tree
DigitalGlobe
Earth
error matrix
estimation
geographic information systems
Accuracy
Global Earth Observation System of Systems
Guidelines
image classification
inclusion probability
Indexes
land cover change (LCC) detection
land cover classification
measurement uncertainty
