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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Anomaly Detection
biblio
A Framework for Data-Driven Physical Security and Insider Threat Detection
Submitted by
aekwall
on Mon, 08/26/2019 - 10:07am
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
resilience
risk management
rule-based anomaly detection
security of data
Security Ontology
Security Provenance
security provenance solution
security weaknesses
biblio
Detecting Malicious Authentication Events Trustfully
Submitted by
grigby1
on Mon, 08/05/2019 - 11:36am
Anomaly Detection
authentication
authentication event
Bipartite graph
collaboration
Computational modeling
false attacks
false negative rate
false positive rate
false trust
feature extraction
Forestry
learning (artificial intelligence)
legitimate user behavior
logistic regression model
Logistics
LogitBoost model
Los Alamos dataset
malicious authentication event detection
malicious class
pattern classification
policy-based governance
Predictive models
pubcrawl
random forest model
regression analysis
resilience
Resiliency
Scalability
security logs
supervised learning technique
Trusted Computing
trustful predictions
ultimately majority voting model
biblio
Towards a security monitoring plane for named data networking and its application against content poisoning attack
Submitted by
aekwall
on Mon, 08/05/2019 - 10:44am
Anomaly Detection
Bayes methods
Bayesian network
Bayesian network structure
Bayesian Network techniques
clean-slate approach
computer network security
Detectors
Hypothesis testing
information centric networking paradigm
Information Centric Networks
internet
IP networks
Measurement
microdetector
Monitoring
named data networking
NDN node
NDN specification
pubcrawl
Resiliency
Scalability
security
security issues
security monitoring approach
security monitoring plane
security of data
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
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
Anomaly Detection
anomaly node
attackers
broken node
Cloud Computing
cloud insider attack detection
cloud network
cloud security issues
cloud user
composability
compromised node
Data models
data sources
deep learning
improvised long short-term memory model
internal attacker
internal attackers compromise
learning (artificial intelligence)
Logic gates
Long short-term memory
machine learning
machine learning approaches
malicious node
misbehaving node
Monitoring
privacy
pubcrawl
resilience
Resiliency
security
security approaches
security of data
short-term behavioral data
trusted users
User behavior
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
Anomaly Detection
anomaly detection evaluation dataset
composability
control engineering computing
Cyber Attacks
Data processing
Decision trees
deep learning
deep learning models
Feeds
ICs
ICS security
industrial control
industrial process anomaly detection task
learning (artificial intelligence)
linear algorithms
machine learning
machine learning algorithms
machine learning methods
modern industrial control systems
neural nets
Neural networks
privacy
production engineering computing
pubcrawl
resilience
Resiliency
security
security of data
signal correlations
Support vector machines
Tennessee Eastman process simulation data
Training
biblio
Optimal Machine Learning Algorithms for Cyber Threat Detection
Submitted by
grigby1
on Mon, 06/10/2019 - 1:56pm
advanced targeted cyber threats
Anomaly Detection
automated cyber threat detection
classification
Classification algorithms
Clustering algorithms
composability
cyber security
cyber threat detection model
Data mining
data science
Decision trees
deep learning
Dimensionality
efficient machine
Ensemble Learning
exponential hike
false detection rates
false-positive detections
global Security Operations Center environments
Kernel
learning (artificial intelligence)
Logistics
machine learning
machine learning algorithms
minimisation
ML-based analytics
Numerical Clustering
optimal machine learning algorithm
prediction
privacy
pubcrawl
Regression
resilience
Resiliency
security
security data
security log analytics
security logs
security machine data
security of data
SoC
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