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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
forecasting theory
biblio
Using GRU neural network for cyber-attack detection in automated process control systems
Submitted by grigby1 on Fri, 05/08/2020 - 1:44pm
neural nets
Neural Network Security
operating parameters
multivariate time series
information security breaches
GRU-neural network training
forecasting theory
forecasting multivariate time series
end system devices
cyber-attack detection
automated process control systems
APCS
Time series analysis
forecasting
Metrics
security of data
deep learning
production engineering computing
process control
water treatment
control engineering computing
collaboration
policy-based governance
pubcrawl
time series
Neural networks
Anomaly Detection
security
Training
biblio
Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
resilience
neural nets
neural network models
Neural networks
optimisation
optimization
policy-based governance
pubcrawl
random search
Negative correlation search
Resiliency
Scalability
search problems
time series
Time series analysis
time series datasets
time series forecasting
Training
forecasting theory
Bayesian optimization
belief networks
collaboration
composability
DBN
Deep Belief Network
derivative-free optimizer-negative correlation search
forecasting
Bayes methods
grid search
Human behavior
hyperparameters optimization
learning (artificial intelligence)
learning rates
Load modeling
Mathematical model
Metrics
biblio
A K-nearest neighbor locally search regression algorithm for short-term traffic flow forecasting
Submitted by grigby1 on Mon, 06/11/2018 - 2:44pm
nearest neighbour methods
traffic flow vector
traffic flow data
traffic control
Silicon
short-term traffic flow forecasting
search problems
root mean squared error
road traffic
regression analysis
Real-Time Traffic Control
real-time systems
pubcrawl
Predictive models
Prediction algorithms
optimal nearest neighbors
Baoanbei intersection
nearest neighbor search
Metrics
Measurement
mean square error methods
locally search strategy
local similarity
k-NN model
k-nearest neighbor locally weighted regression algorithm
K-nearest neighbor locally search regression algorithm
k-nearest neighbor
k-LSR algorithm
Indexes
forecasting theory
forecasting
data-driven method
biblio
Entropy clustering approach for improving forecasting in DDoS attacks
Submitted by grigby1 on Tue, 03/07/2017 - 12:44pm
pattern clustering
forecasting theory
FPR
IDS
intrusion detection system
k-means clustering analysis
network analysis
network security
online anomaly detection
forecasting
Ports (Computers)
proactive forecast
project industrial partner
pubcrawl170109
Shannon entropy
Shannon-entropy concept
volume anomaly
alert management
feature extraction
false positive rate
entropy clustering approach
Entropy
distributed denial-of-service (DDoS) detection
distributed denial-of-service
Digital Forensics
digital forensic analysis
DDoS Attacks
cyber-range simulation dataset
computer network security
Computer crime
Clustering algorithms
clustering algorithm
Algorithm design and analysis
biblio
Forecasting severity of software vulnerability using grey model GM(1,1)
Submitted by grigby1 on Mon, 02/27/2017 - 11:55am
Predictive models
Vulnerability
software vulnerability forecasting severity
software security level
software security
software risk level
software reliability
Software
severity
security of data
security
pubcrawl170107
grey model
prediction
Measurement
Mathematical model
grey theory
grey systems
grey system theory
GM(1
forecasting theory
forecasting
Data models
