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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Anomaly Detection
biblio
Machine Learning for Reliable Network Attack Detection in SCADA Systems
Submitted by
aekwall
on Mon, 07/01/2019 - 10:10am
Anomaly Detection
composability
control engineering computing
critical infrastructures
data normalization
F1 score
gas pipeline system
Human behavior
Intrusion Detection Systems
learning (artificial intelligence)
machine learning
malicious intrusions
missing data estimation
network attack detection
network attacks
open SCADA protocols
Payloads
Pipelines
Protocols
pubcrawl
Random Forest
Resiliency
SCADA
SCADA systems
SCADA Systems Security
security of data
supervisory control and data acquisition systems
support vector machine
Support vector machines
SVM
Training
biblio
Cyberattack to Cyber-Physical Model of Wind Farm SCADA
Submitted by
aekwall
on Mon, 07/01/2019 - 10:10am
Anomaly Detection
composability
CPS (cyber-physical system)
cyber-physical system model
cyber-physical systems
cyberattack
cyberattack to cyber-physical model
cyberlayer
Cybersecurity
Human behavior
IEEE 9-bus modified system
information and communication technology model
power system
power system control
Power system protection
power system security
power systems
pubcrawl
Resiliency
SCADA (Supervisory control and data acquisition)
SCADA systems
SCADA Systems Security
security of data
Servers
supervisory control and data acquisition systems
wind farm
wind farm SCADA system
Wind farms
Wind power generation
wind power penetration
wind power plants
wind turbines
biblio
A Framework for Data-Driven Physical Security and Insider Threat Detection
Submitted by
aekwall
on Mon, 06/24/2019 - 2:59pm
Access Control
Anomaly Detection
Attack Pattern Reconstruction
data analysis
Data Analytics
data-driven physical security
Digital Forensics
forensic data analysis
Forensics
Human behavior
insider threat
Insider Threat Detection
insider threats mitigation
intrusion attempts
Metrics
ontological framework
Ontologies
ontologies (artificial intelligence)
organizational security policies
Organizations
physical security
physical security architecture
Physical Security Definition
policy-based governance
provenance graphs
PSO
pubcrawl
Resiliency
risk management
rule-based anomaly detection
security of data
Security Ontology
Security Provenance
security provenance solution
security weaknesses
biblio
Combining Real-Time Risk Visualization and Anomaly Detection
Submitted by
grigby1
on Mon, 06/17/2019 - 11:50am
Anomaly Detection
Human Factors
Metrics
pubcrawl
resilience
risk analysis
risk management
Scalability
Security Risk Management
situational awareness
visualization
biblio
Behavior-Based Community Detection: Application to Host Assessment In Enterprise Information Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 1:58pm
Anomaly Detection
behavior modeling
community detection
Comparative Analysis
enterprise information network
entity embedding
graph theory
host assessment
Human behavior
Malware Analysis
Metrics
privacy
pubcrawl
Resiliency
biblio
Cloud Insider Attack Detection Using Machine Learning
Submitted by
grigby1
on Mon, 06/10/2019 - 1:56pm
Cloud Computing
privacy
User behavior
security
security of data
resilience
Monitoring
pubcrawl
Resiliency
composability
Data models
learning (artificial intelligence)
machine learning
Logic gates
Anomaly Detection
deep learning
anomaly node
attackers
broken node
cloud insider attack detection
cloud network
cloud security issues
cloud user
compromised node
data sources
improvised long short-term memory model
internal attacker
internal attackers compromise
Long short-term memory
machine learning approaches
malicious node
misbehaving node
security approaches
short-term behavioral data
trusted users
valuable information
vulnerable information
vulnerable user node
biblio
Research of Classical Machine Learning Methods and Deep Learning Models Effectiveness in Detecting Anomalies of Industrial Control System
Submitted by
grigby1
on Mon, 06/10/2019 - 1:56pm
deep learning
privacy
security
security of data
production engineering computing
resilience
Support vector machines
pubcrawl
Resiliency
composability
Training
learning (artificial intelligence)
machine learning
Anomaly Detection
neural nets
Decision trees
Neural networks
control engineering computing
industrial control
Cyber Attacks
machine learning algorithms
ICs
anomaly detection evaluation dataset
Data processing
deep learning models
Feeds
ICS security
industrial process anomaly detection task
linear algorithms
machine learning methods
modern industrial control systems
signal correlations
Tennessee Eastman process simulation data
biblio
Optimal Machine Learning Algorithms for Cyber Threat Detection
Submitted by
grigby1
on Mon, 06/10/2019 - 1:56pm
privacy
classification
security
security of data
resilience
machine learning
pubcrawl
Resiliency
composability
learning (artificial intelligence)
deep learning
Kernel
Data mining
Clustering algorithms
Classification algorithms
machine learning algorithms
cyber security
Anomaly Detection
prediction
Logistics
data science
advanced targeted cyber threats
automated cyber threat detection
cyber threat detection model
Decision trees
Dimensionality
efficient machine
Ensemble Learning
exponential hike
false detection rates
false-positive detections
global Security Operations Center environments
minimisation
ML-based analytics
Numerical Clustering
optimal machine learning algorithm
Regression
security data
security log analytics
security logs
security machine data
SoC
biblio
Log-based Anomalies Detection of MANETs Routing with Reasoning and Verification
Submitted by
aekwall
on Mon, 06/10/2019 - 10:15am
telecommunication security
security
Resiliency
pubcrawl
composability
privacy
Routing
Metrics
telecommunication network routing
Anomaly Detection
mobile ad hoc networks
active attacks
MANETs
passive attacks
Ad hoc networks
mobile computing
central control program
cognition
Diagnostics
flow graph
flow graphs
log-based anomalies detection
MANETs routing
Merkle hash tree
multiple malicious nodes
reasoning rules
routing phases
routing procedure
routing security
Syslog
verification
verification phase
MANET Attack Detection
biblio
Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks
Submitted by
grigby1
on Thu, 05/09/2019 - 10:47am
resilience
pubcrawl
Resiliency
Scalability
Anomaly Detection
Industrial Control Systems
scalable
convolutional neural networks
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