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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
q-learning
biblio
Q-Learning for Securing Cyber-Physical Systems : A survey
Submitted by aekwall on Tue, 05/25/2021 - 3:33pm
Internet of Things
security
machine learning algorithms
pubcrawl
privacy
machine learning
computer security
cyber-physical systems
Human Factors
CPS
CPS Privacy
q-learning
Reinforcment Learning
biblio
Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator
Submitted by aekwall on Tue, 04/27/2021 - 1:29pm
Scalability
Task Analysis
Adaptation models
Resiliency
Human behavior
pubcrawl
audit
Reinforcement learning
tools
Penetration Testing
Biological neural networks
Deep Neural Network
Security Audits
pentesting
q-learning
biblio
Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach
Submitted by grigby1 on Fri, 01/22/2021 - 1:38pm
security of data
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Analytical models
Scalability
Computational modeling
Security analysis
Games
Cyber Attacks
advanced persistent threat
APT
threat detection
cyberattack
game theory
Markov processes
q-learning
advanced persistent threats
Dynamic Information Flow Tracking
DIFT-based defender
Limiting average reward criteria
multistage attacks
Rain
real-word attack dataset
refinable attack investigation framework
Stackelberg semiMarkov game
Stackelberg zero-sum semi-Markov games
two-time scale Q-learning algorithm
biblio
CoDRL: Intelligent Packet Routing in SDN Using Convolutional Deep Reinforcement Learning
Submitted by grigby1 on Wed, 12/02/2020 - 2:03pm
CoDRL model
Convolution layer
Convolutional Deep Reinforcement Learning
convolutional layer
convolutional neural nets
coupled congestion control
current SDN systems
Deep Deterministic Policy Gradient (DDPG)
Deep Deterministic Policy Gradients deep agent
deep reinforcement learning
deep reinforcement learning agent
dynamic packet routing
dynamic traffic engineering
flexible traffic engineering
gradient methods
intelligent packet routing
less efficient resource utilization
mean network delay
network congestion
network data
network performance
Packet loss rate
pubcrawl
q-learning
real-time modification
resilience
Resiliency
resource allocation
routing computation
routing configuration
routing optimization
routing strategies
Scalability
SDN controller
Software Defined Network (SDN)
software defined networking
telecommunication control
telecommunication network routing
telecommunication traffic
biblio
Decentralized Verification for Dissipativity of Cascade Interconnected Systems
Submitted by grigby1 on Mon, 10/05/2020 - 1:49pm
autonomous systems
cascade interconnected systems
cascade systems
Compositionality
control system synthesis
Couplings
decentralized verification rule
dissipativity
dissipativity properties
Interconnected Systems
large-scale cascade interconnections
largescale networks
learning (artificial intelligence)
learning-enabled subsystems
linear subsystems
Mathematical model
Matrices
minimum knowledge
model-free learning structure
multivariable systems
pubcrawl
q-learning
reinforcement learning algorithm
Stability analysis
subsystem parameters
verification
verification process
biblio
An Adaptive Routing Scheme Based on Q-learning and Real-time Traffic Monitoring for Network-on-Chip
Submitted by grigby1 on Fri, 05/15/2020 - 12:44pm
network on chip security
Scalability
resilience
Resiliency
Metrics
adaptive routing scheme
C-XY routing
computer architecture
dynamical Q-learning routing approach
dynamical routing
dynamical routing schemes
DyXY routing
Heuristic algorithms
learning (artificial intelligence)
monitor
Monitoring
network congestion
network routing
network-on-chip
NoC
optimisation
packet transmission
performance optimization
Prediction algorithms
q-learning
real-time
real-time systems
Routing
telecommunication traffic
traffic load congestion
traffic monitoring
biblio
Sequential Node/Link Recovery Strategy of Power Grids Based on Q-Learning Approach
Submitted by grigby1 on Mon, 03/02/2020 - 1:36pm
Cascading Failures
Cyber Attacks
grid defender
large-scale smart grids
learning (artificial intelligence)
Load flow
physical attacks
power engineering computing
power flow cascading failure
power generation
Power Grid
power grid test benchmarks
power grids
power system faults
Power system protection
power system reliability
power system restoration
pubcrawl
q-learning
Q-learning approach
recovery strategies
Reinforcement learning
resilience
Resiliency
restoration process
security of data
sequential node-link recovery strategy
sequential recovery
Smart Grids
smart power grids
System recovery
biblio
A Reinforcement Learning Approach for Attack Graph Analysis
Submitted by grigby1 on Fri, 02/08/2019 - 4:28pm
Control Theory
security
approximate analysis approach
attack graph
attack graph analysis
attack graph size
attack graphs
Big Data
composability
computer network security
computer security
Conferences
cyber security
data privacy
graph theory
Handheld computers
internet
learning (artificial intelligence)
Metrics
multistage vulnerability analysis
possible attack routes
pubcrawl
q-learning
Reinforcement learning
reinforcement learning approach
resilience
Resiliency
security of data
simplified graph
transition graph
file
Game Theory with Learning for Cyber Security Monitoring
Submitted by awhitesell on Tue, 11/15/2016 - 5:24pm
Defense
Science of Security
defense
game theory
Monitoring
q-learning
Science of Security
UIUC
NSA SoS Lablets Materials
Data Driven Security Models and Analysis
biblio
Game Theory with Learning for Cyber Security Monitoring
Submitted by awhitesell on Tue, 11/15/2016 - 5:22pm
Defense
Science of Security
defense
game theory
Monitoring
q-learning
Science of Security
UIUC
NSA SoS Lablets Materials
Data Driven Security Models and Analysis
