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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Kernel
biblio
An Online System Dependency Graph Anomaly Detection based on Extended Weisfeiler-Lehman Kernel
Submitted by
aekwall
on Mon, 07/06/2020 - 10:14am
Intrusion Detection
security of data
Scalability
Task Analysis
Kernel
Resiliency
pubcrawl
graph theory
Metrics
standards
Clustering algorithms
Anomaly Detection
Forensics
pattern clustering
Human Factors
Compositionality
clustering analysis
dependency graph
embedding and clustering of heterogeneous graphs
extended Weisfeiler-Lehman kernel
graph similarity
locality-sensitive hashing
modern operating systems
multiprogramming
multitasking systems
online system dependency graph anomaly detection
simHash
streamspot
System dependency graph
Weisfeiler-Lehman graph kernel
Cyber Dependencies
biblio
Towards a Generic Approach for Memory Forensics
Submitted by
grigby1
on Wed, 06/03/2020 - 12:02pm
Application's data
Data mining
data structures
debugging
Debugging information
digital evidence
Forensics
Human behavior
Human Factors
information forensics
Kernel
Memory Forensics
Metrics
microsoft windows
PDB file
pubcrawl
Random access memory
resilience
Resiliency
Scalability
biblio
Deep Embedding Logistic Regression
Submitted by
aekwall
on Mon, 05/11/2020 - 11:28am
Kernel
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
composability
classification
Metrics
neural nets
Neural networks
pattern classification
Logistics
Mathematical model
regression analysis
Predictive models
Numerical models
deep neural networks
accountability
network accountability
actionability
classification accuracy
deep embedding logistic regression
DELR
DNNs
interpretability
LR
narrow neural network
nonlinear dimension-wise feature embedding
biblio
An Improved Convolutional Neural Network Model for Intrusion Detection in Networks
Submitted by
aekwall
on Mon, 05/11/2020 - 11:18am
Intrusion Detection
security of data
Kernel
Support vector machines
network security
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
pattern classification
network intrusion detection
machine learning
CNN
convolutional neural nets
convolutional neural networks
cyber security
convolution
convolutional neural network algorithm
improved convolutional neural network model
intrusion samples
KDD99 datasets
low detection rate
network intrusion detection model
popular detection technology
traditional machine learning technology
biblio
LuNet: A Deep Neural Network for Network Intrusion Detection
Submitted by
grigby1
on Fri, 05/08/2020 - 2:43pm
learning (artificial intelligence)
Training
feature extraction
machine learning
convolutional neural nets
Intrusion Detection
pubcrawl
policy-based governance
collaboration
computer network security
intrusion detection system
network attack
recurrent neural nets
telecommunication traffic
network users
Kernel
Metrics
convolutional neural network
Recurrent neural networks
advanced network attacks
AI-based solutions
Deep Neural Network
detection capability
hierarchical CNN+RNN neural network
input traffic data learning
intelligent capability
large scale network
LuNet
network intrusion detection
network intrusion detection techniques
network traffic data
network traffic datasets
recurrent neural network
security issue
signature-based approach
spatial features
temporal features
Neural Network Security
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
Computer crime
computer network security
IP networks
Kernel
computer architecture
learning (artificial intelligence)
Resiliency
pubcrawl
graph theory
Neural networks
convolutional neural nets
network traffic
deep learning
deep neural networks
Network Security Architecture
anomaly-based approaches
deep learning architecture
flow-based network attack detection
Graph Kernel
network attack detection
network attack detection tasks
network attack detection technology
network security practices
networked system
biblio
A Kernel Rootkit Detection Approach Based on Virtualization and Machine Learning
Submitted by
grigby1
on Fri, 04/17/2020 - 11:28am
composability
feature extraction
Hardware
hardware assisted virtualization technology
invasive software
Kernel
kernel rootkit
kernel rootkit detection approach
kernel rootkit detection solution
kernel rootkit detection system
kernel space
learning (artificial intelligence)
machine learning
machine learning techniques
malicious kernel module
Metrics
operating system
operating system kernels
operating systems (computers)
OS
OS kernel
OS resource management
pubcrawl
Registers
resilience
Resiliency
rootkit
run-time features
security of data
system monitoring
target kernel module
TF-IDF method
user-mode rootkit detection
Virtual machine monitors
virtual machines
virtualisation
Virtualization
windows kernel rootkits
Windows Operating System Security
biblio
Undertow: An Intra-Kernel Isolation Mechanism for Hardware-Assisted Virtual Machines
Submitted by
grigby1
on Fri, 04/17/2020 - 10:24am
authorisation
Cloud Computing
security
Trusted Computing
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
data privacy
sensitive data
privacy
storage management
security threats
composability
invasive software
Linux
Switches
virtualisation
Virtual machining
Kernel
operating system kernels
Virtual machine monitors
virtual machines
Virtualization
Metrics
security policies
bare-metal machines
boot time
bug-prone
commodity operating system
critical data
EPT violations
flexible cloud servers
guest kernel
guest virtual machine
Hardware virtualization
hardware-assisted isolation mechanism
hardware-assisted virtual machines
Intel processors
intra-kernel isolation mechanism
isolated environment
isolation
Kernel Protection
multiple restricted Extended Page Table
nested kernel
popular paths
pre-defined EPT
read-only protection
system calls
unpopular paths
untrusted code
untrusted outter kernel
virtualization exception
VMFUNC
virtualization privacy
biblio
Side Channel Attacks in Computation Offloading Systems with GPU Virtualization
Submitted by
grigby1
on Fri, 04/17/2020 - 10:23am
cloud
Cloud Computing
composability
computation offloading systems
computation performance
Cryptography
GPU systems
GPU vendors
GPU virtualization
graphics processing units
high-performance GPUs
Human behavior
Human Factors
intensive computation
Internet of Things
IoT
Kernel
learning (artificial intelligence)
Libraries
Metrics
mobile computing
mobile systems
operating system
privacy
pubcrawl
resilience
Resiliency
Runtime
side channel attack
side channel attacks
side-channel attacks
virtual machine
virtual machines
virtualisation
Virtualization
virtualization privacy
biblio
Convolutional Neural Network based Foreground Segmentation for Video Surveillance Systems
Submitted by
aekwall
on Mon, 04/13/2020 - 10:28am
Kernel
feature extraction
Resiliency
Human behavior
pubcrawl
Metrics
CNN
convolutional neural nets
convolutional neural network
Entropy
image segmentation
interpolation
object detection
video surveillance
video surveillance system
computer vision
Biological system modeling
Change detection
Change detection algorithms
constructed foreground mask
dynamic backgrounds
extracted feature maps
Foreground segmentation
foreground segmentation algorithm
foreground segmentation methods
ground truth
illumination changes
image sequences
static foreground object
upsampled feature mask
video sequences
video surveillance systems
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