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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
real-world insider threat data
biblio
Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection
Submitted by grigby1 on Fri, 06/26/2020 - 1:04pm
graph theory
security of data
security
Scalability
Resiliency
real-world insider threat data
pubcrawl
Organizations
Metrics
malicious threat groups
machine learning
learning (artificial intelligence)
Insider Threat Detection
Image edge detection
Anomaly Detection
graph convolutional networks
GCN
fraud detection
fraud
feature extraction
edge detection
Data models
convolutional neural nets
composability
associated threat groups
anomaly detection model
anomaly detection applications