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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Reinforcement learning
biblio
Applying Differential Privacy Mechanism in Artificial Intelligence
Submitted by
grigby1
on Fri, 08/07/2020 - 3:48pm
learning (artificial intelligence)
machine learning
security
Artificial Intelligence
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
data privacy
privacy
federated learning
Reinforcement learning
multi-agent systems
Scalability
multiagent systems
AI
differential privacy
differential privacy mechanism
distributed machine learning
multi-agent system
biblio
Voltage Based Authentication for Controller Area Networks with Reinforcement Learning
Submitted by
aekwall
on Mon, 07/20/2020 - 10:44am
computer network security
authorisation
Internet of Things
computer architecture
Support vector machines
cyber-physical systems
learning (artificial intelligence)
Resiliency
pubcrawl
Neural networks
Reinforcement learning
machine learning
testing
Computers
controller area network security
controller area networks
electronic control units
authentication mode
CAN bus
ECU signals
linear regression
physical authentication scheme
spoofing attacks
spoofing model
biblio
Dynamic Data Publishing with Differential Privacy via Reinforcement Learning
Submitted by
aekwall
on Mon, 06/22/2020 - 11:19am
Scalability
data privacy
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
privacy
resource management
Reinforcement learning
resource allocation
Heuristic algorithms
differential privacy
privacy protection
Publishing
data publishing
data release
dynamic data
dynamic data publishing algorithm
dynamic data publishing strategy
privacy budget
privacy budget allocation phase
privacy budget allocation scheme
privacy guarantee
biblio
RAD: Reinforcement Authentication DYMO Protocol for MANET
Submitted by
aekwall
on Tue, 05/26/2020 - 11:04am
encryption
telecommunication security
Cryptographic Protocols
learning (artificial intelligence)
Resiliency
pubcrawl
Routing
Metrics
Reinforcement learning
authentication
Routing protocols
message authentication
packet delivery ratio
telecommunication computing
delays
MANET
mobile ad hoc networks
Throughput
end to end delay
mobile ad hoc network
Secret key
Compositionality
Encryption technique
mobility management (mobile radio)
malicious node
MANET security
authentication technique
average throughput
cryptographic operations
demand protocol
DYMO
dynamic MANET
infrastructure centralized server
MD5
Message Digest 5
RAD
reinforcement authentication DYMO protocol
Reinforcement.
biblio
An Evolutionary Computation Approach for Smart Grid Cascading Failure Vulnerability Analysis
Submitted by
grigby1
on Fri, 04/24/2020 - 4:38pm
learning (artificial intelligence)
security of data
pubcrawl
resilience
Resiliency
Topology
cyber-physical security
power engineering computing
power system security
smart power grids
composability
Smart Grids
Metrics
failure analysis
power system faults
Power system protection
benchmark systems
Cascading Failures
evolutionary computation
evolutionary computation based vulnerability analysis framework
line-switching
line-switching sequential attack
particle swarm optimisation
particle swarm optimization
power transmission lines
power transmission protection
power transmission reliability
Reinforcement learning
smart grid cascading failure vulnerability analysis
smart grid protection
smart grid security
Power Grid Vulnerability Assessment
biblio
Automatic PTZ Camera Control Based on Deep-Q Network in Video Surveillance System
Submitted by
aekwall
on Mon, 04/13/2020 - 10:27am
Resiliency
Human behavior
pubcrawl
Metrics
Reinforcement learning
Training
Mathematical model
video signal processing
Cameras
object detection
Streaming media
video surveillance
video surveillance system
image motion analysis
image sensors
automatic PTZ camera control method
deep-Q network
DQN
pan-tilt-zoom camera
PTZ camera
PTZ camera control values
surveillance area
video analysis system
video cameras
biblio
Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning
Submitted by
aekwall
on Mon, 04/13/2020 - 10:07am
computer network security
Monitoring
Scalability
telecommunication traffic
computer network management
software defined networking
Support vector machines
learning (artificial intelligence)
Resiliency
pubcrawl
software-defined networking
control systems
Security analysis
Software-Defined Networks
computer network reliability
data plane
centralised control
centralized network control
centralized network management
control framework
control plane
Control System
Degradation
forwarding performance status
Network Statistics and Software-Defined Networking
optimal traffic flow matching policy
policy formulation
proactive forwarding device protection
Q-DATA framework
Q-learning algorithm
Reinforcement learning
reinforcement learning approach
REST SDN application
SDN based networks
SDN controllers
SDN environment
SDN switches
SDN-based traffic flow
SDN-based traffic flow matching control system
support vector machine based algorithm
traffic flow granularity
traffic flow information
traffic flow monitoring
traffic forwarding performance degradation protection
Security by Default
file
Towards a Model-Based Reinforcement Learning Approach for Safe Operation of Distributed Energy Systems
Submitted by
Dileep Kalathil
on Fri, 04/10/2020 - 10:22am. Contributor:
Dileep Kalathil
Reinforcement learning
Lightning Talks
1850206
CPS PI Meeting 2019
Lightning Talks
Presentation
biblio
Reinforcement Learning Based Multi-Tenant Secret-Key Assignment for Quantum Key Distribution Networks
Submitted by
aekwall
on Mon, 03/09/2020 - 11:13am
Scalability
security
learning (artificial intelligence)
Resiliency
pubcrawl
resource management
Reinforcement learning
Training
quantum cryptography
Artificial Neural Networks
Heuristic algorithms
Benchmark testing
online multitenant secret-key assignment algorithm
quantum key distribution networks
tenant-request blocking probability
Security Heuristics
predictability
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
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