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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
intelligent malware detection
biblio
Intelligent Malware Detection Using Oblique Random Forest Paradigm
Submitted by grigby1 on Mon, 06/10/2019 - 1:02pm
resilience
malware classification datasets
Metrics
Oblique Random Forest
oblique random forest ensemble learning technique
oblique random forest paradigm
pattern classification
privacy
pubcrawl
malware classification
Resiliency
security community
signature-based detection techniques
stealthy malware
Support vector machines
Trojan horses
unknown malware
behavior-based detection techniques
malware behavior
machine learning solutions
machine learning
learning (artificial intelligence)
invasive software
intelligent malware detection
Human behavior
Forestry
feature extraction
false positive rate
Decision trees
decision tree learning models
computerized online applications
comprehensive malware detection
classification accuracy
