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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
forecasting
biblio
A Stealthier False Data Injection Attack against the Power Grid
Submitted by grigby1 on Tue, 09/20/2022 - 1:13pm
pubcrawl
policy-based governance
resilience
Conferences
Scalability
Computers
Smart Grids
forecasting
automatic generation control
Resiliency
adaptive control
Automatic frequency control
false trust
biblio
Security Decision Support in the Control Systems based on Graph Models
Submitted by grigby1 on Fri, 08/26/2022 - 2:06pm
Complexity theory
technical systems
response against violations
graph
countermeasure model
Control Theory
control
decision support
countermeasures
forecasting
information security
control systems
Decision Making
Scalability
Resiliency
Human Factors
Human behavior
pubcrawl
security
biblio
Performance evaluation method of cyber attack behaviour forecasting based on mitigation
Submitted by grigby1 on Fri, 05/20/2022 - 2:46pm
Metrics
threat mitigation
TTPs
True Positive
cyber-attack behavior
MITRE ATT&ck
Accuracy
cyberattack
forecasting
pubcrawl
convergence
estimation
information and communication technology
performance evaluation
Software
Resiliency
resilience
Human behavior
biblio
Load Forecasting of Privacy-Aware Consumers
Submitted by grigby1 on Fri, 11/20/2020 - 1:03pm
Resiliency
polling frequency constraints
power engineering computing
predictive control
Predictive models
privacy
privacy protection schemes
privacy-aware consumers
pubcrawl
regression analysis
report consumption data
resilience
policy-based governance
Scalability
short-term load forecasts
SM data
smaller consumer aggregations
smart grid consumer privacy
smart meter
smart meters
STLF accuracy
Support vector machines
support vector regression
temporal resolutions
high spatial resolutions
composability
consumer aggregation levels
consumer privacy
consumer privacy risks
data privacy
data-driven grid management
Electric Grid
energy consumption
forecast accuracy
forecasting
grid visible consumer load profile
collaboration
higher aggregation levels
Human behavior
load forecasting
Load modeling
load profiles
load-forecasting
load-levelling scheme
Metrics
model-distribution predictive control
Mutual information
planning techniques
biblio
Poisoning Attack on Load Forecasting
Submitted by grigby1 on Wed, 11/04/2020 - 1:14pm
poisoning attack
Training data
statistical methods
simulated annealing
short-term load forecasting systems
security of data
Scalability
Resiliency
resilience
regression analysis
pubcrawl
Predictive models
power system security
power grids
power engineering computing
poisoning attack solution
AI Poisoning
outlier detection
Numerical models
neural network
multiple linear regression
MLR model
MLR attacking solution
Load modeling
load forecasting
Human behavior
Global Energy Forecasting Competition data
forecasting
data poisoning strategy
Data models
closed-form solution
biblio
Exponential Smoothing based Approach for Detection of Blackhole Attacks in IoT
Submitted by aekwall on Tue, 05/26/2020 - 9:58am
IoT environment
topological isolation
smoothing methods
low power and lossy network
IPv6 routing protocol over LLN
IPv6 over low power personal area network
Internet of things environment
high performance computing environment
forecasting
exponential window function
exponential smoothing time series data
exponential smoothing
blackhole attack detection approach
Blackhole attack
personal area networks
time series
IoT
blackhole attacks
telecommunication network topology
sensors
RFID
sink node
6LoWPAN
internet
Routing
Routing protocols
pubcrawl
Resiliency
Internet of Things
Scalability
IP networks
RPL
biblio
Neural Network Model for Information Security Incident Forecasting
Submitted by grigby1 on Fri, 05/08/2020 - 1:54pm
neural network model
Time Series Prediction
Time series analysis
time series
security of data
Resiliency
resilience
pubcrawl
Predictive models
policy-based governance
neural network structure
Neural Network Security
artificial neural network
neural network application
neural nets
Metrics
intelligent forecasting system
information security incidents forecasting
information security incident
information security
forecasting
collaboration
Biological neural networks
Artificial Neural Networks
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
Forecasting Cyberattacks as Time Series with Different Aggregation Granularity
Submitted by grigby1 on Tue, 11/12/2019 - 3:26pm
intrusion detection methods
Uniform resource locators
time series construction
Time series analysis
time series
target configuration
security
pubcrawl
predictive security metrics
Predictive models
potential external factors
Metrics
malware
Malicious Traffic
malicious activity
aggregation granularity
incident count forecasting
forecasting
cyber defense
cyber attack occurrences
Correlation
computer network security
Computer crime
binary occurrence metrics
belief networks
Bayesian networks
autoregressive moving average processes
auto-regressive integrated moving average models
ARIMA
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
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