Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
high-dimensional representations
biblio
STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection
Submitted by aekwall on Mon, 08/17/2020 - 11:18am
hybrid deep neural network design
graph Laplacian matrix
attack graphs
dimensionality reduction
graph characterization vectors
graph kernel matrices
graph signal processing
graph similarity measures
graph structures
high-dimensional intrinsic representation
high-dimensional representations
hybrid deep learning models
Matrix converters
kernel-based similarity embedding vector
long-term information learning
long-term network attack detection
network communication data
real-world network attack datasets
spatial-temporal deep learning
spatiotemporal deep learning
structural similarity information
supervised classification task
temporal communication graph
traffic analysis methods
CNN
IP networks
telecommunication traffic
Kernel
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
composability
graph theory
matrix algebra
pattern classification
computer network security
convolutional neural nets
convolutional neural network
network traffic
deep learning
signal processing
LSTM
Predictive Metrics
Laplace equations
Long short-term memory
Graph Kernel
network flows
