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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Distributed Analytics and Security Institute Mississippi State University Starkville
biblio
A hybrid model for anomaly-based intrusion detection in SCADA networks
Submitted by K_Hooper on Wed, 04/04/2018 - 9:59am
learning (artificial intelligence)
Zero-day attacks
vulnerability detection
vulnerabilities
supervisory control and data acquisition systems
security of data
SCADA systems
SCADA networks
robust hybrid model
Resiliency
pubcrawl
Protocols
Metrics
machine learning approach
machine learning
anomaly-based Intrusion Detection Systems
Intrusion Detection
industrial control system dataset
industrial control system
industrial control
Human behavior
feature selection model
Feature Selection
feature extraction
fabrication
Distributed Analytics and Security Institute Mississippi State University Starkville
Cybersecurity
Computational modeling
Compositionality
