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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Predictive models
biblio
An Improved Collaborative Filtering Recommendation Algorithm Based on Differential Privacy
Submitted by aekwall on Mon, 01/11/2021 - 1:40pm
gradient methods
ε-differential privacy
stochastic gradient descent algorithm
recommendation systems
recommendation accuracy loss
potential characteristic matrix
noise matrix factorization model
Netflix
MovieLens
differential privacy matrix factorization model
differential privacy constraint
collaborative filtering recommendation model
centralized recommendation
matrix factorization
Matrix decomposition
differential privacy protection
Scalability
Perturbation methods
recommender systems
privacy protection
differential privacy
Predictive models
software engineering
Stochastic processes
Prediction algorithms
privacy
collaborative filtering
composability
pubcrawl
Human behavior
Resiliency
data privacy
biblio
Trustworthiness Inference Framework in the Social Internet of Things: A Context-Aware Approach
Submitted by aekwall on Mon, 12/07/2020 - 12:31pm
context-aware approach
trustworthiness inference framework
trust generation
trust elements
sociological principles
social networking
recommendation trust
psychological principles
kernel-based nonlinear multivariate grey prediction model
kernel-based nonlinear multivariate grey prediction
internal similarity trust
human behaviors
fuzzy logic method
familiarity trust
external similarity trust
context-aware trustworthiness inference framework
Internet of Things
Social Internet of Things
grey systems
psychology
Trust management
Predictive models
trustworthiness
Fuzzy logic
smart objects
direct trust
Reliability
social networking (online)
composability
pubcrawl
Trusted Computing
Protocols
biblio
Machine Learning-Driven Trust Prediction for MEC-Based IoT Services
Submitted by grigby1 on Wed, 12/02/2020 - 2:14pm
Predictive models
MEC-environments
mobile computing
Mobile Edge Computing
network Lasso problem
network topology
optimisation
optimization
pattern clustering
MEC-based IoT systems
pubcrawl
sensor services
simultaneous clustering
Topology
trust
Trusted Computing
trustworthiness
IoT systems
Computing Theory
distributed machine-learning architecture
distributed trust prediction model
graph theory
Human behavior
Human Factors
Internet of Things
Internet of Things services
alternate direction method of multipliers
large-scale networked-graphs
learning (artificial intelligence)
machine learning
machine learning-driven trust prediction
machine-learning architecture models
Mathematical model
MEC-based IoT services
biblio
An Incentive Mechanism Using Shapley Value for Blockchain-Based Medical Data Sharing
Submitted by aekwall on Mon, 11/23/2020 - 11:28am
data miners
Compositionality
Incentive mechanism
Shapley value
diseases
Medical diagnostic imaging
blockchain-based medical data sharing
computational process
cooperation model
medical information systems
disease diagnosis
incentive schemes
medical data sharing
Shapley value revenue distribution
topological relationships
Intelligent Data Security
Intelligent Data and Security
Resiliency
Scalability
data owners
Big Data
data privacy
security
game theory
Data models
learning (artificial intelligence)
security of data
pubcrawl
blockchain
Business
machine learning techniques
cryptocurrencies
Distributed databases
Predictive models
biblio
Synthesizing Energy Consumption Data Using a Mixture Density Network Integrated with Long Short Term Memory
Submitted by grigby1 on Fri, 11/20/2020 - 2:06pm
residential consumer energy consumption
mixture density network
multiple critical infrastructures
policy-based governance
power engineering computing
Power Grid
Predictive models
privacy
privacy concerns
Probability density function
pubcrawl
Metrics
residential smart meters
resilience
Resiliency
Scalability
security
smart cities
smart grid consumer privacy
smart meters
smart power grids
standards
energy consumption
collaboration
commercial consumer energy consumption
Communication networks
composability
data analysis
data dissemination
Data models
data privacy
data storage
data synthesis
centralized data analytics
fully synthetic energy consumption data
Human behavior
human behavioral impacts
information dissemination
load patterns
Logic gates
long short-term memory network
LSTM
MDN
biblio
Load Forecasting of Privacy-Aware Consumers
Submitted by grigby1 on Fri, 11/20/2020 - 2:03pm
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
Asynchronous Parallel Surrogate Optimization Algorithm Based on Ensemble Surrogating Model and Stochastic Response Surface Method
Submitted by grigby1 on Fri, 11/20/2020 - 1:53pm
parallel optimization algorithm
asynchronous parameter optimization
black-box function optimization
ensemble surrogating model
model integration mode
parallel computing
parallel computing framework
parallel computing resources
parallel computing technology
asynchronous parallel surrogate optimization algorithm
parallel parameter space sampling mechanism
parallel sampling mechanism
Quantitative Trading
response surface methodology
stochastic response surface method
surrogate model-based optimization algorithm
Stochastic Computing Security
Adaptation models
uncertainty handling
parallel algorithms
approximation theory
inference mechanisms
ensemble model
optimisation
Load modeling
Stochastic processes
Computational modeling
Scalability
optimization
Resiliency
resilience
pubcrawl
Predictive models
biblio
Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment
Submitted by aekwall on Mon, 11/09/2020 - 1:20pm
Hidden Markov models
Information Reuse and Security
VED-RNN
variational encoder-decoder recurrent neural network
System-calls
system-call traces
sequence to sequence model
sequence to sequence
security tools
prediction model input data representation
HIDS
anomaly prediction
one-class classification
NIDS
security of data
Compositionality
Intrusion Detection Systems
Recurrent neural networks
recurrent neural nets
Predictive models
Anomaly Detection
Prediction algorithms
pattern classification
Decoding
pubcrawl
Resiliency
Classification algorithms
biblio
Tackling Class Imbalance in Cyber Security Datasets
Submitted by aekwall on Mon, 11/09/2020 - 1:12pm
Compositionality
Information Reuse and Security
Velocity measurement
UNSW-NB15
Size measurement
SANTA dataset
outdated datasets
old attacks
information infrastructure
cyber security datasets
class imbalance
class imbalance problem
security of data
Predictive models
cyber security
computer security
cyber-attacks
Training
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
machine learning algorithms
Time measurement
biblio
Poisoning Attack on Load Forecasting
Submitted by grigby1 on Wed, 11/04/2020 - 2:14pm
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
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