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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Graph Kernel
biblio
An Efficient Vulnerability Extrapolation Using Similarity of Graph Kernel of PDGs
Submitted by aekwall on Tue, 05/18/2021 - 3:21pm
feature extraction
Resiliency
Human behavior
pubcrawl
privacy
Metrics
vulnerability detection
Labeling
Training
Compositionality
Open Source Software
Graph Kernel
supervised learning
extrapolation
program dependence graph
vulnerability extrapolation
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
biblio
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection
Submitted by aekwall on Mon, 05/04/2020 - 11:15am
deep learning
networked system
network security practices
network attack detection technology
network attack detection tasks
network attack detection
Graph Kernel
flow-based network attack detection
deep learning architecture
anomaly-based approaches
Network Security Architecture
deep neural networks
Computer crime
network traffic
convolutional neural nets
Neural networks
graph theory
pubcrawl
Resiliency
learning (artificial intelligence)
computer architecture
Kernel
IP networks
computer network security
biblio
Learning Malware Using Generalized Graph Kernels
Submitted by aekwall on Mon, 02/18/2019 - 12:55pm
Support vector machines
Resiliency
pubcrawl
composability
Graph Kernel
malware detection
support vector machine
Metrics
