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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Support vector machines
biblio
Anomaly Detection in Role Administered Relational Databases — A Novel Method
Submitted by
aekwall
on Mon, 11/04/2019 - 10:23am
authorisation
Access Control
support vector machine
Support vector machines
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
Metrics
Databases
Training
Anomaly Detection
Intrusion Detection
relational databases
relational database security
access control measures
anomaly detection system
anomaly detection technique
common security measures
database access control
database management system
database management systems
Quiplet
Role administered relational databases
Role-Based Access Control database
security feature
User profile
biblio
Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms?
Submitted by
aekwall
on Mon, 07/01/2019 - 9:14am
Bayes methods
Bug Propensity Correlational Analysis
Computer bugs
Decision Tree
Decision trees
deep learning
deep learning technique
Feedforward Artificial Network
feedforward neural nets
learning (artificial intelligence)
machine learning
Metrics
multilayer deep feedforward network
Naive Bayes
Predictive models
program debugging
pubcrawl
Random Forest
security
security breaches
Security Metrics
security of data
security-related bugs
Software
software insecurity
software metrics
software quality
software quality metrics
software security bugs
Support vector machines
biblio
Machine Learning for Reliable Network Attack Detection in SCADA Systems
Submitted by
aekwall
on Mon, 07/01/2019 - 9:10am
Anomaly Detection
composability
control engineering computing
critical infrastructures
data normalization
F1 score
gas pipeline system
Human behavior
Intrusion Detection Systems
learning (artificial intelligence)
machine learning
malicious intrusions
missing data estimation
network attack detection
network attacks
open SCADA protocols
Payloads
Pipelines
Protocols
pubcrawl
Random Forest
Resiliency
SCADA
SCADA systems
SCADA Systems Security
security of data
supervisory control and data acquisition systems
support vector machine
Support vector machines
SVM
Training
biblio
Intelligent Malware Detection Using Oblique Random Forest Paradigm
Submitted by
grigby1
on Mon, 06/10/2019 - 1:02pm
behavior-based detection techniques
classification accuracy
comprehensive malware detection
computerized online applications
decision tree learning models
Decision trees
false positive rate
feature extraction
Forestry
Human behavior
intelligent malware detection
invasive software
learning (artificial intelligence)
machine learning
machine learning solutions
malware behavior
malware classification
malware classification datasets
Metrics
Oblique Random Forest
oblique random forest ensemble learning technique
oblique random forest paradigm
pattern classification
privacy
pubcrawl
resilience
Resiliency
security community
signature-based detection techniques
stealthy malware
Support vector machines
Trojan horses
unknown malware
biblio
Malware Classification Using Machine Learning Algorithms
Submitted by
grigby1
on Mon, 06/10/2019 - 1:02pm
computer architecture
Conferences
core computing functions
Correlation
Decision trees
encrypting deleting sensitive data
huge virtual world
Human behavior
internet
invasive software
learning (artificial intelligence)
machine learning algorithms
malicious programs
malicious software
malware
malware classification
Malware crisis
Metrics
pattern classification
privacy
pubcrawl
resilience
Resiliency
scripts
stealing deleting sensitive data
Support vector machines
biblio
Malware Classification with Deep Convolutional Neural Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 1:01pm
challenging malware classification datasets
CNN
computer architecture
convolution
convolutional neural networks
deep convolutional neural networks
deep learning
deep learning approach
deep learning framework
feedforward neural nets
Gray-scale
grayscale images
Human behavior
image classification
invasive software
learning (artificial intelligence)
Learning systems
machine learning
machine learning approaches
Malimg malware
malware
malware binaries
malware classification
Metrics
Microsoft malware
privacy
pubcrawl
resilience
Resiliency
Support vector machines
biblio
Malware Classification Using Deep Convolutional Neural Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 1:01pm
accuracy levels
classification
classifier
convolutional neural nets
convolutional neural network
convolutional neural networks
Correlation
DCNN classification
deep convolutional neural networks
deep learning techniques
feature extraction
Gray-scale
Hamming distance
Human behavior
image classification
image features
image representation
image type
improved image representation
invasive software
learning (artificial intelligence)
learning models
machine learning
malware
malware binaries
malware classification
malware images
Metrics
neural network
object detection
Pattern recognition
privacy
pubcrawl
resilience
Resiliency
support vector machine
support vector machine classifier training
Support vector machines
transfer learning
visual patterns
visualization
biblio
Research of Classical Machine Learning Methods and Deep Learning Models Effectiveness in Detecting Anomalies of Industrial Control System
Submitted by
grigby1
on Mon, 06/10/2019 - 12:56pm
Anomaly Detection
anomaly detection evaluation dataset
composability
control engineering computing
Cyber Attacks
Data processing
Decision trees
deep learning
deep learning models
Feeds
ICs
ICS security
industrial control
industrial process anomaly detection task
learning (artificial intelligence)
linear algorithms
machine learning
machine learning algorithms
machine learning methods
modern industrial control systems
neural nets
Neural networks
privacy
production engineering computing
pubcrawl
resilience
Resiliency
security
security of data
signal correlations
Support vector machines
Tennessee Eastman process simulation data
Training
biblio
Machine Learning-Based Recommendation Trust Model for Machine-to-Machine Communication
Submitted by
grigby1
on Mon, 06/10/2019 - 12:56pm
Bayes methods
composability
Computational modeling
computer network security
Decision Tree
Decision trees
internet
Internet of Things(IoTs)
Internet of Vehicles(IoVs)
Internet Protocol
k nearest neighbor
learning (artificial intelligence)
machine learning
machine learning trust evaluation
Machine learning-based recommendation trust model
Machine Type Communication Devices
Machine-to-Machine communication nodes
machine-to-machine communications
Machine-to-Machine(M2M)
malicious data
Mathematical model
Naive Bayes
pattern classification
Peer-to-peer computing
privacy
pubcrawl
radial support vector machine
Random Forest
receiver operating characteristics
Reliability
resilience
Resiliency
security
security issues
security threats
Supervisory Control and Data Supervisory Acquisition(SCADA)
Support vector machines
telecommunication computing
trust computation measures
Trusted Computing
biblio
Route Cache Based SVM Classifier for Intrusion Detection of Control Packet Attacks in Mobile Ad-Hoc Networks
Submitted by
aekwall
on Mon, 06/10/2019 - 9:16am
Ad hoc networks
composability
Data models
IDS
MANET
MANET Attack Detection
Metrics
mobile computing
pubcrawl
Resiliency
Route cache
Routing
Routing protocols
Support vector machines
SVM
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