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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Anomaly Detection
biblio
QoE-Driven Anomaly Detection in Self-Organizing Mobile Networks Using Machine Learning
Submitted by
grigby1
on Mon, 02/17/2020 - 4:14pm
Anomaly Detection
composability
Computational modeling
Data models
Decision trees
dysfunctional serving eNodeBs
dysfunctional serving nodes
end-user experience
green mobile communication networks
learning (artificial intelligence)
machine learning
mobile computing
mobile radio
network scenario
network-centric approaches
ns-3
ns-3 network simulator
parametric QoE model
Predictive models
pubcrawl
qoe
QoE-driven anomaly detection
quality of experience
resilience
Resiliency
self-healing networks
self-organizing mobile networks
SON
system model
telecommunication computing
user-centric approach
biblio
An Improved Cooperative Cell Outage Detection in Self-Healing Het Nets Using Optimal Cooperative Range
Submitted by
grigby1
on Mon, 02/17/2020 - 4:11pm
Anomaly Detection
Cell Outage Detection
composability
computer architecture
Cooperation Range
cooperative COD
cooperative communication
detection accuracy maximization
detection delay
Fading
fault detection
fault diagnosis
FBS
femtobase stations
femtocellular radio
heterogeneous networks
Heuristic algorithms
improved cooperative cell outage detection
macrobase station
MBS
Microprocessors
network parameters
noise power
optimal cooperative range
optimisation
path-loss exponent
pubcrawl
Rayleigh channels
resilience
Resiliency
self-healing
self-healing het nets
self-healing networks
Shadow mapping
shadowing fading factor
telecommunication network reliability
transmission power
Wireless communications
biblio
A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks
Submitted by
aekwall
on Mon, 02/17/2020 - 1:42pm
Intrusion Detection
security of data
telecommunication traffic
Internet of Things
Protocols
nearest neighbour methods
feature extraction
machine learning
Resiliency
Human behavior
pubcrawl
Metrics
pattern classification
vulnerabilities
Training
Cybersecurity
Anomaly Detection
network traffic
vulnerability detection
Compositionality
IoT networks
anomaly detection system
CICIDS2017 dataset
edited nearest neighbors
flow-based anomaly detection
flow-based features extraction
flow-based intrusion detection
level-1 model
level-2 model precision
malicious activity detection
recursive feature elimination
sampling methods
synthetic minority over-sampling technique
two-level hybrid anomalous activity detection
UNSW-15 dataset
biblio
Detecting Android Security Vulnerabilities Using Machine Learning and System Calls Analysis
Submitted by
aekwall
on Mon, 02/17/2020 - 1:42pm
security
Software
invasive software
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
machine learning
Metrics
Correlation
Anomaly Detection
Computer bugs
security vulnerabilities
Measurement
vulnerability detection
android
Android (operating system)
Compositionality
anomaly detection techniques
system calls
Android operating systems
Android security vulnerabilities
cyber attackers
detection algorithm
detection process
malicious Android application
security bugs
security vulnerabilities detection
system call
vulnerabilities detection approach
biblio
A Study on Container Vulnerability Exploit Detection
Submitted by
aekwall
on Mon, 02/17/2020 - 1:41pm
security of data
Cloud Computing
security
feature extraction
learning (artificial intelligence)
machine learning
Resiliency
Human behavior
pubcrawl
Metrics
Databases
tools
Anomaly Detection
Containers
vulnerability detection
Heuristic algorithms
Image Processing
Compositionality
cloud computing infrastructures
Container Security
container vulnerability exploit detection
Docker Images
dynamic anomaly detection scheme
dynamic vulnerability attack detection schemes
static vulnerability attack detection schemes
biblio
Secure Integration of Electric Vehicles with the Power Grid
Submitted by
aekwall
on Mon, 02/10/2020 - 11:06am
Intrusion Detection
Monitoring
security
Resiliency
pubcrawl
Protocols
Anomaly Detection
distributed energy resources
power system security
Inspection
distributed power generation
secure integration
Engines
Human Factors
Compositionality
Electric Vehicles
aggregator
battery powered vehicles
critical power grid component
cyber-physical
cyber-physical anomaly detection Engine
detects anomalies
distribution networks
EV
monitoring cyber messages
monitors system behavior
pluggable electric vehicles
power data
power grid system
Power measurement
power measurements
V2G cyber network
Vehicle-to-grid
vehicle-to-grid system
worst case inspection time
Smart Grid Sensors
biblio
Keystroke Based User Authentication Using Modified Differential Evolution
Submitted by
grigby1
on Tue, 01/28/2020 - 1:36pm
Anomaly Detection
authentication
Human behavior
Human Factors
keystroke analysis
keystroke dynamics
Metrics
Modified Differential Evolution
password
Presses
pubcrawl
Subspace Anomaly Detection
Task Analysis
timing
Training
user authentication
biblio
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
Submitted by
grigby1
on Tue, 01/21/2020 - 10:59am
Anomaly Detection
Compositionality
expandability
joint learning network
pubcrawl
resilience
Resiliency
self-adaption
time series
transfer learning
biblio
User Behavior Profiling Using Ensemble Approach for Insider Threat Detection
Submitted by
grigby1
on Tue, 01/21/2020 - 10:24am
Anomaly Detection
behavioural sciences computing
CNN
collaboration
convolution
convolution neural network
convolution neural networks
convolutional neural nets
cyber security
ensemble hybrid machine learning
feature extraction
Human behavior
human behavior impact
insider threat
Insider Threat Detection
learning (artificial intelligence)
machine learning
malicious activities
Metrics
Monitoring
MSLSTM
multistate long short term memory
multistate LSTM
network walls
Neural networks
Organizations
policy-based governance
pubcrawl
resilience
Resiliency
security of data
Servers
spatial-temporal behavior features
time series
Time Series Anomaly Detection
user behavior action sequence
user behavior profiling
biblio
A Trust Aware Unsupervised Learning Approach for Insider Threat Detection
Submitted by
grigby1
on Tue, 01/21/2020 - 10:22am
Anomaly Detection
CERT insider threat dataset
collaboration
data analysis
Data mining
feature extraction
Forestry
Human behavior
insider threat
insider threat detection systems
insiders
isolation forest
machine learning
machine learning algorithms
Metrics
one-class SVM
Organizations
policy-based governance
pubcrawl
resilience
Resiliency
Support vector machines
system logs
trust
trust aware unsupervised learning
Unsupervised Learning
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