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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
machine learning
biblio
Locality Guided Neural Networks for Explainable Artificial Intelligence
Submitted by aekwall on Mon, 03/01/2021 - 4:04pm
Scalability
learning (artificial intelligence)
Resiliency
pubcrawl
Neurons
machine learning
CNN
convolutional neural nets
network topology
convolutional neural networks
Topology
visualization
Semantics
xai
deep learning architecture
CIFAR100 dataset
explainable artificial intelligence
AI methods
current deep network architectures
locality guided neural network
self-organising feature maps
Self-organizing feature maps
Self-Organizing Map
training networks
biblio
Approximate Symbolic Explanation for Neural Network Enabled Water-Filling Power Allocation
Submitted by aekwall on Mon, 03/01/2021 - 4:03pm
Scalability
machine learning
Resiliency
pubcrawl
deep learning
resource management
Wireless communication
Iterative methods
optimization
neural nets
telecommunication computing
Artificial Neural Networks
wireless
approximation theory
fading channels
xai
Transforms
OFDM modulation
Search Space
approximate symbolic explanation
channel gain
direct high-dimensional mapping
iterative WF threshold search process
Meijer G-function
neural network enabled water-filling power allocation
NN power allocation solution
OFDM sub-channels
slow iterative search
symbolic mapping
biblio
Measure Utility, Gain Trust: Practical Advice for XAI Researchers
Submitted by aekwall on Mon, 03/01/2021 - 4:02pm
Computational modeling
computing methodologies
Data models
deep learning
HCI design and evaluation methods
human computer interaction (hci)
human-centered computing
machine learning
machine learning algorithms
machine learning approaches
Neural networks
pubcrawl
Resiliency
Scalability
Task Analysis
user studies
visual analytics
xai
biblio
Can We Predict the Quality of Spectrum-based Fault Localization?
Submitted by aekwall on Mon, 03/01/2021 - 3:47pm
Scalability
Electronic mail
Resiliency
pubcrawl
Metrics
tools
program testing
machine learning
Measurement
Complexity theory
Predictive models
program debugging
software metrics
software fault tolerance
Couplings
fault diagnosis
automated fault localization
debugging
dynamic test metrics
dynamic test suite
effective fault localization
fault localization effectiveness
fault localization techniques
fault-related metrics
potential effectiveness
prediction model
spectrum-based fault localization
static test metrics
static test suite
work factor metrics
biblio
Intellectual Priority-based Low Latency Data Delivery Scheme for Multi-interface and Multi-channel Devices in Multi-hop Wireless Mesh Networks
Submitted by aekwall on Mon, 03/01/2021 - 3:43pm
telecommunication security
real-time systems
Support vector machines
Resiliency
pubcrawl
composability
Peer-to-peer computing
Metrics
machine learning
telecommunication network routing
delays
wireless mesh networks
relay networks (telecommunication)
spread spectrum communication
end-to-end delay
intellectual priority-based low latency data delivery scheme
intellectual priority-based packet transmission scheme
low-latency
multi-interface
multichannel devices
multihop wireless mesh networks
multiinterface devices
real-time-scheduling
relaying hops
wireless-mesh-network
Wireless Mesh Network Security
biblio
Lightweight Testbed for Cybersecurity Experiments in SCADA-based Systems
Submitted by grigby1 on Tue, 02/23/2021 - 1:58pm
ARP Spoofing
computer network security
computer security
container-based SCADA testbed
Containers
critical infrastructure
critical infrastructures
cyber physical systems
cyber-attacks
cybersecurity experiments
Docker
experimental testbeds
financial damages
interoperable platform
learning (artificial intelligence)
machine learning
man in the middle attack
MITM Attack
network classification model
Network reconnaissance
network scanning
network traffic
Open area test sites
pattern classification
physical damages
Protocols
pubcrawl
reconnaissance attack
resilience
Resiliency
SCADA
SCADA systems
SCADA-based Systems
Scalability
telecommunication traffic
testbed
biblio
Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique
Submitted by grigby1 on Tue, 02/23/2021 - 1:57pm
anomaly based IDS
computer network security
discretization
Entropy
entropy based discretization technique
feature extraction
Hidden Markov models
IDS systems
Intrusion Detection
intrusion detection system
machine learning
network attack
network intrusion detection system
network packets
Network reconnaissance
networking technologies
principal component analysis
pubcrawl
Reconnaissance
resilience
Resiliency
Scalability
Training
Training data
biblio
Using Deep Learning Techniques for Network Intrusion Detection
Submitted by grigby1 on Tue, 02/23/2021 - 1:47pm
learning (artificial intelligence)
feature extraction
machine learning
CNN
convolutional neural nets
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
computer network security
network security
recurrent neural nets
composability
deep learning
convolutional neural networks
recurrent neural network
Recurrent neural networks
network intrusion detection
deep learning techniques
neural network
convolutional neural network
cyber-security attacks
intelligent network intrusion detection system
network intrusion attacks
RNN
biblio
An intrusion detection system integrating network-level intrusion detection and host-level intrusion detection
Submitted by grigby1 on Tue, 02/23/2021 - 1:46pm
learning (artificial intelligence)
machine learning
security
Data mining
convolutional neural nets
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
computer network security
cyber security
intrusion detection system
Computer crime
composability
cyber-attacks
software reliability
neural network
network intrusion detection
Scalability
software quality
NSL-KDD dataset
ADFA dataset
cyber-attackers
host-level IDS
host-level intrusion detection
IDS field
network-level intrusion detection
scalable neural-network-based hybrid IDS framework
biblio
A Hybrid Feature Extraction Network for Intrusion Detection Based on Global Attention Mechanism
Submitted by grigby1 on Tue, 02/23/2021 - 1:46pm
Training
feature extraction
machine learning
Support vector machines
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
computer network security
telecommunication traffic
composability
pattern classification
neural nets
deep learning
testing
network intrusion detection
spatial features
temporal features
AI methods
false alarm rates
feature extraction layer
fully connected layer
Global Attention Mechanism
global attention mechanism layer
hybrid feature extraction network
hybrid network
intrusion detection task
intrusion detection tasks
large-scale network traffic
low recognition performance
network monitoring system
network traffic attributes
Residual U Net
RULA-IDS
SVM classification layer
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