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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Data models
biblio
Privacy Preserving Big Data Publication On Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks
Submitted by
aekwall
on Mon, 07/13/2020 - 11:07am
security
Cloud Computing
Big Data
data privacy
Data models
machine learning
Resiliency
pubcrawl
privacy preservation
privacy
Metrics
neural nets
Neural networks
Databases
data analysis
Scalability
differential privacy
data utility
deep neural networks
DNN
data management
personal data
privacy-preservation
k-anonymity
protection
Big Data Analytics
compromising privacy
high-dimensional data deep neural network based framework
Mondrian anonymization techniques
Mondrian based k-anonymity approach
personally identifiable information
predominant factor
privacy breach
privacy preserving big data publication
user privacy in the cloud
biblio
Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold
Submitted by
grigby1
on Fri, 07/10/2020 - 11:40am
anonymisation algorithms
attribute combination
attribute pairs
attribute separation
Bayes methods
Bayesian networks
Bayesian networks optimised
belief networks
case agnostic method
Data Anonymisation
data anonymity
data deletion
Data models
data privacy
data transformation
Distributed databases
distributed high-dimensional data repositories
distributed high-dimensional health data silos
high conditional probability
identifying data exposure
information loss
learning (artificial intelligence)
manifold
Manifolds
medical information systems
medical research
multigrid
multigrid solver method
privacy
privacy exposure risk
privacy legislation
private data exposure
Probabilistic logic
probability
pubcrawl
quasiidentifiers
Scalability
security of data
strong guarantees
thwarts de-anonymisation
treatment data
biblio
Predicting and Preventing Malware in Machine Learning Model
Submitted by
grigby1
on Thu, 07/09/2020 - 1:57pm
AdaBoost
Algorithm robustness enhancement
Causative attack
Classification algorithms
Compositionality
data deletion
Data models
data privacy
Data Sanitization
Decision Tree
Decision trees
exploratory attack
Human behavior
Human Factors
invasive software
K-nearest-neighbors classifier
KNN classifier
machine learning
machine learning algorithms
machine learning model
malware prediction
malware prevention
pattern classification
Predictive models
privacy
privacy preserving technique
pubcrawl
Random Forest
random forests
resilience
Resiliency
Scalability
security
support vector machine
Support vector machines
Training
biblio
Mixed-Degradation Profiles Assessment of Critical Components in Cyber-Physical Systems
Submitted by
aekwall
on Mon, 07/06/2020 - 10:15am
Scalability
Hardware
Software
Data models
cyber-physical systems
Resiliency
pubcrawl
Computational modeling
Metrics
program testing
Reliability
Human Factors
software reliability
Compositionality
telecommunication network reliability
Stochastic processes
physical components
Degradation
CPS reliability profile
critical subsystem
cyber aspect
degradation paths
degradation profiles
mix-degradation profiles
mixed-degradation profiles assessment
nonhomogeneous Poisson processes software reliability models
physical components degradation
physical-software systems
software component failure data
software component profile
software components reliability
software reliability perspective
Weibull distribution
Weibull software reliability model
Cyber Dependencies
biblio
Improving Deep Learning by Incorporating Semi-automatic Moving Object Annotation and Filtering for Vision-based Vehicle Detection*
Submitted by
grigby1
on Fri, 07/03/2020 - 1:16pm
Scalability
Data models
tools
Task Analysis
feature extraction
pubcrawl
Metrics
Resiliency
resilience
Training
learning (artificial intelligence)
deep learning
neural nets
traffic engineering computing
computer vision
video signal processing
video surveillance
object detection
deep learning models
image filtering
artifactual data
automatic foreground object extraction
big image data
data augmentation
dataset construction
deep learning neural networks
deep learning you-only-look-once model
human-in-the-loop quick selection
image annotation
image motion analysis
Object segmentation
road vehicles
security monitoring systems
semiautomatic moving object annotation
semiautomatic moving object annotation method
street intersection surveillance videos
Vehicle detection
video analytics applications
video frames
vision-based vehicle detection
deep video
biblio
DDoS Intrusion Detection Through Machine Learning Ensemble
Submitted by
aekwall
on Mon, 06/29/2020 - 12:46pm
Artificial Neural Networks
composability
Computer crime
computer network security
Data models
DDoS
DDoS attack detection
DDoS Attacks
DDoS Intrusion Detection
distributed denial of service attacks
domain-knowledge
emerging DDoS attack patterns
Ensemble Machine Learning
ensemble models
feature extraction
Human behavior
Intrusion Detection
intrusion detection system
learning (artificial intelligence)
machine learning
machine learning ensemble
Metrics
network intrusion detection system
NIDS approach
NSL-KDD dataset
prominent attacks
pubcrawl
reduced feature set
Resiliency
robust defense mechanism
Support vector machines
biblio
PMU Based Data Driven Approach For Online Dynamic Security Assessment in Power Systems
Submitted by
grigby1
on Fri, 06/26/2020 - 1:17pm
security
power engineering computing
power system security
Data models
pubcrawl
composability
Metrics
Resiliency
Data mining
real-time systems
cyber-physical systems
data mining model
Decision Tree
Dynamic security assessment
IEEE 39 bus system
intelligent framework based approach
measurement data
online dynamic security assessment
phasor measurement
Phasor measurement units
PMU based data driven approach
power system
power system control
Power system dynamics
power system stability
power system transient stability
Random Forest
real time synchronized measurements
synchronized phasor measurements
system control
system operator
system pertaining
transient instability
wide-area dynamic security assessment
biblio
Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection
Submitted by
grigby1
on Fri, 06/26/2020 - 1:04pm
Anomaly Detection
anomaly detection applications
anomaly detection model
associated threat groups
composability
convolutional neural nets
Data models
edge detection
feature extraction
fraud
fraud detection
GCN
graph convolutional networks
graph theory
Image edge detection
Insider Threat Detection
learning (artificial intelligence)
machine learning
malicious threat groups
Metrics
Organizations
pubcrawl
real-world insider threat data
Resiliency
Scalability
security
security of data
biblio
Conditional Generative Adversarial Network on Semi-supervised Learning Task
Submitted by
grigby1
on Fri, 06/12/2020 - 12:21pm
abundant unlabeled data
conditional
conditional GAN model
conditional generative adversarial network
Data models
deep neural networks
Gallium nitride
Generative Adversarial Learning
generative adversarial network
generative adversarial networks
Generators
image classification
Mathematical model
Metrics
MNIST dataset
neural nets
pubcrawl
resilience
Resiliency
Scalability
semi-supervised
Semisupervised learning
semisupervised learning method
supervised learning
Tensile stress
biblio
Intruder Detection with Alert Using Cloud Based Convolutional Neural Network and Raspberry Pi
Submitted by
aekwall
on Mon, 06/01/2020 - 10:53am
Cameras
cloud based convolutional neural network
Cloud Computing
CNN algorithm
component
composability
convolutional neural nets
convolutional neural network
convolutional neural networks
Data models
feature extraction
image acquisition
intruder detection
intruder detection system
middleware
middleware security
MMS alert
Monitoring
policy-based governance
pubcrawl
raspberry p
Raspberry Pi
resilience
Resiliency
security of data
Training
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