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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Bayes methods
biblio
Evaluation of Two RFID Traffic Models with Potential in Anomaly Detection
Submitted by
grigby1
on Wed, 10/02/2019 - 2:03pm
Adaptation models
Anomaly Detection
anomaly/intrusion detection
Bayes methods
Bayesian Blocks
binned RFID command counts
Computational modeling
graph theory
Human behavior
Human Factors
IEC standards
IoT
ISO standards
Knuth's Rule
modeling algorithms
modeling technique
NFC
piecewise graphs
pubcrawl
radiofrequency identification
resilience
Resiliency
RFID
RFID security
RFID traces
RFID traffic models
RFID traffic patterns
RFIDs
telecommunication security
telecommunication traffic
traffic characterization
biblio
Towards a security monitoring plane for named data networking and its application against content poisoning attack
Submitted by
aekwall
on Mon, 08/05/2019 - 9:44am
Anomaly Detection
Bayes methods
Bayesian network
Bayesian network structure
Bayesian Network techniques
clean-slate approach
computer network security
Detectors
Hypothesis testing
information centric networking paradigm
Information Centric Networks
internet
IP networks
Measurement
microdetector
Monitoring
named data networking
NDN node
NDN specification
pubcrawl
Resiliency
Scalability
security
security issues
security monitoring approach
security monitoring plane
security of data
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
predictive security metrics
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
A Multi-Classifier Framework for Open Source Malware Forensics
Submitted by
grigby1
on Mon, 07/01/2019 - 9:06am
automated manner
Bayes methods
computer network security
computer viruses
cyber attack pattern
Cyber Attacks
data cleaning
Data mining
Data models
ever-evolving threats
extensive pre-modeling techniques
feature extraction
future cyber threats
Gaussian Naive Bayes classifier
heuristics updates
invasive software
learning (artificial intelligence)
machine learning
machine learning algorithms
machine learning models
malware
malware analysis reports
malware attacks
malware forensics
manual analysis
multiclassifier framework
open source malware forensics
open source malware sandbox
pattern classification
pubcrawl
resilience
Resiliency
Scalability
Security Heuristics
security of data
traditional anti-virus technologies
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
Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
Submitted by
grigby1
on Wed, 03/06/2019 - 3:30pm
Bayes methods
Bayesian optimization
belief networks
collaboration
composability
DBN
Deep Belief Network
derivative-free optimizer-negative correlation search
forecasting
forecasting theory
grid search
Human behavior
hyperparameters optimization
learning (artificial intelligence)
learning rates
Load modeling
Mathematical model
Metrics
Negative correlation search
neural nets
neural network models
Neural networks
optimisation
optimization
policy-based governance
pubcrawl
random search
resilience
Resiliency
Scalability
search problems
time series
Time series analysis
time series datasets
time series forecasting
Training
biblio
Classification for Authorship of Tweets by Comparing Logistic Regression and Naive Bayes Classifiers
Submitted by
aekwall
on Mon, 03/04/2019 - 9:46am
anonymity
attribution
authorisation
authorship attribution
authorship attribution techniques
Bayes methods
classification
composability
digital identities
dubious sources
Electronic mail
fake news
feature extraction
feature vector
Human behavior
human-in-the-loop security center paradigm
learning (artificial intelligence)
logistic regression
logistic regression based classifier
Logistics
machine learning
machine learning model
machine learning techniques
Metrics
mobile phone
Naive Bayes
naïve Bayes classifier
pattern classification
pre-processed data
privacy
pubcrawl
Python
regression analysis
security
social computing
social media
social networking (online)
text analysis
text classification
Training
tweets authorship
Twitter
Twitter account
biblio
RISK ASSESSMENT IN PHARMACEUTICAL SUPPLY CHAINS UNDER UNKNOWN INPUT-MODEL PARAMETERS
Submitted by
aekwall
on Mon, 02/25/2019 - 10:43am
Bayes methods
pubcrawl
Metrics
supply chains
Mathematical model
Pharmaceuticals
Stochastic processes
uncertainty
Supply Chain Risk Assesment
biblio
A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers
Submitted by
aekwall
on Mon, 02/25/2019 - 10:42am
Scalability
Bayes methods
Classification algorithms
learning (artificial intelligence)
Human behavior
pubcrawl
Metrics
Neural networks
pattern classification
unsolicited e-mail
spam detection
Unsolicited electronic mail
electronic messaging
spam messages
machine learning
Filtering
CAP curve
content based advertisement
content-based machine learning techniques
deep learning methods
detection
filtering spam emails
information filtering
machine learning classifiers
phones
short message service
smart phones
Spam SMS
spam SMS detection
stylistic features
text messages
biblio
Detection of Spam E-mails with Machine Learning Methods
Submitted by
aekwall
on Mon, 02/25/2019 - 10:42am
Analytical models
Bayes methods
content information
e-mail communication
e-mail filtering
Filtering
Human behavior
internet
learning (artificial intelligence)
machine learning
machine learning methods
Metrics
naïve Bayes classifier
offensive content
pattern classification
Postal services
pubcrawl
Scalability
security of data
spam detection
spam e-mails
spam filtering
unsolicited e-mail
Unsolicited electronic mail
vector space model
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