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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
q-learning
biblio
Using Deep Reinforcement Learning to Evade Web Application Firewalls
Submitted by grigby1 on Tue, 04/19/2022 - 1:17pm
Adversarial Machine Learning
Firewalls (computing)
pubcrawl
q-learning
Reinforcement learning
resilience
Resiliency
Scalability
Semantics
signature based defense
SQL injection
Task Analysis
Training
tuning
Web Application Firewall (WAF)
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
cyberattack
two-time scale Q-learning algorithm
Stackelberg zero-sum semi-Markov games
Stackelberg semiMarkov game
refinable attack investigation framework
real-word attack dataset
Rain
multistage attacks
Limiting average reward criteria
DIFT-based defender
Dynamic Information Flow Tracking
advanced persistent threats
q-learning
Markov processes
game theory
security of data
threat detection
APT
advanced persistent threat
Cyber Attacks
Games
Security analysis
Computational modeling
Scalability
Analytical models
Resiliency
resilience
Metrics
Human behavior
pubcrawl
biblio
CoDRL: Intelligent Packet Routing in SDN Using Convolutional Deep Reinforcement Learning
Submitted by grigby1 on Wed, 12/02/2020 - 2:03pm
routing configuration
network performance
Packet loss rate
pubcrawl
q-learning
real-time modification
resilience
Resiliency
resource allocation
routing computation
network data
routing optimization
routing strategies
Scalability
SDN controller
Software Defined Network (SDN)
software defined networking
telecommunication control
telecommunication network routing
telecommunication traffic
deep reinforcement learning agent
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
CoDRL model
dynamic packet routing
dynamic traffic engineering
flexible traffic engineering
gradient methods
intelligent packet routing
less efficient resource utilization
mean network delay
network congestion
biblio
Decentralized Verification for Dissipativity of Cascade Interconnected Systems
Submitted by grigby1 on Mon, 10/05/2020 - 1:49pm
learning-enabled subsystems
verification process
verification
subsystem parameters
Stability analysis
reinforcement learning algorithm
q-learning
pubcrawl
multivariable systems
model-free learning structure
minimum knowledge
Matrices
Mathematical model
linear subsystems
autonomous systems
learning (artificial intelligence)
largescale networks
large-scale cascade interconnections
Interconnected Systems
dissipativity properties
dissipativity
decentralized verification rule
Couplings
control system synthesis
Compositionality
cascade systems
cascade interconnected systems
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
Monitoring
traffic monitoring
traffic load congestion
telecommunication traffic
Routing
real-time systems
real-time
q-learning
Prediction algorithms
performance optimization
packet transmission
optimisation
NoC
network-on-chip
network routing
network congestion
network on chip security
monitor
learning (artificial intelligence)
Heuristic algorithms
DyXY routing
dynamical routing schemes
dynamical routing
dynamical Q-learning routing approach
computer architecture
C-XY routing
adaptive routing scheme
Metrics
Resiliency
resilience
Scalability
biblio
Sequential Node/Link Recovery Strategy of Power Grids Based on Q-Learning Approach
Submitted by grigby1 on Mon, 03/02/2020 - 1:36pm
power system reliability
System recovery
smart power grids
Smart Grids
sequential recovery
sequential node-link recovery strategy
security of data
restoration process
Resiliency
resilience
Reinforcement learning
recovery strategies
Q-learning approach
q-learning
pubcrawl
power system restoration
Cascading Failures
Power system protection
power system faults
power grids
power grid test benchmarks
Power Grid
power generation
power flow cascading failure
power engineering computing
physical attacks
Load flow
learning (artificial intelligence)
large-scale smart grids
grid defender
Cyber Attacks
biblio
A Reinforcement Learning Approach for Attack Graph Analysis
Submitted by grigby1 on Fri, 02/08/2019 - 4:28pm
Handheld computers
transition graph
simplified graph
security of data
Resiliency
resilience
reinforcement learning approach
Reinforcement learning
q-learning
pubcrawl
possible attack routes
multistage vulnerability analysis
Metrics
learning (artificial intelligence)
internet
Control Theory
graph theory
data privacy
cyber security
Conferences
computer security
computer network security
composability
Big Data
attack graphs
attack graph size
attack graph analysis
attack graph
approximate analysis approach
security
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
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