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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
NBAD features
biblio
Sparse Support Vector Machine for Network Behavior Anomaly Detection
Submitted by aekwall on Mon, 12/14/2020 - 11:30am
computer network security
Data models
Support vector machines
feature extraction
Feature Selection
learning (artificial intelligence)
Resiliency
pubcrawl
composability
optimization
pattern classification
SVM
Training
Anomaly Detection
Predictive Metrics
Training data
adopted training weights
general machine learning approach
NBAD features
network behavior anomaly detection
related weights matching
sparse support vector machine
sparse SVM
support vector machine approach
