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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Bayes methods
biblio
Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms?
Submitted by
aekwall
on Mon, 07/01/2019 - 10:14am
program debugging
Naive Bayes
Decision trees
security breaches
feedforward neural nets
Computer bugs
Metrics
Decision Tree
pubcrawl
multilayer deep feedforward network
Feedforward Artificial Network
deep learning technique
deep learning
Bug Propensity Correlational Analysis
software quality
Predictive models
Security Metrics
software security bugs
software quality metrics
software metrics
software insecurity
security-related bugs
Random Forest
machine learning
learning (artificial intelligence)
Support vector machines
Bayes methods
Software
security
security of data
biblio
A Multi-Classifier Framework for Open Source Malware Forensics
Submitted by
grigby1
on Mon, 07/01/2019 - 10:06am
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 - 1:56pm
internet
privacy
security
Reliability
Computational modeling
resilience
machine learning
Support vector machines
pubcrawl
Resiliency
composability
Mathematical model
learning (artificial intelligence)
pattern classification
computer network security
Bayes methods
security threats
Peer-to-peer computing
Trusted Computing
telecommunication computing
Naive Bayes
Random Forest
Decision trees
machine-to-machine communications
Decision Tree
Internet of Things(IoTs)
Internet of Vehicles(IoVs)
Internet Protocol
k nearest neighbor
machine learning trust evaluation
Machine learning-based recommendation trust model
Machine Type Communication Devices
Machine-to-Machine communication nodes
Machine-to-Machine(M2M)
malicious data
radial support vector machine
receiver operating characteristics
security issues
Supervisory Control and Data Supervisory Acquisition(SCADA)
trust computation measures
biblio
Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
Submitted by
grigby1
on Wed, 03/06/2019 - 4:30pm
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 - 10:46am
security
human-in-the-loop security center paradigm
authorisation
Bayes methods
Electronic mail
feature extraction
learning (artificial intelligence)
machine learning
Human behavior
pubcrawl
composability
classification
logistic regression
social networking (online)
Twitter
Metrics
pattern classification
machine learning techniques
Training
text analysis
Logistics
attribution
anonymity
authorship attribution
authorship attribution techniques
digital identities
dubious sources
fake news
feature vector
logistic regression based classifier
machine learning model
mobile phone
Naive Bayes
naïve Bayes classifier
pre-processed data
privacy
Python
regression analysis
social computing
social media
text classification
tweets authorship
Twitter account
biblio
RISK ASSESSMENT IN PHARMACEUTICAL SUPPLY CHAINS UNDER UNKNOWN INPUT-MODEL PARAMETERS
Submitted by
aekwall
on Mon, 02/25/2019 - 11:43am
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 - 11:42am
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 - 11:42am
security of data
Scalability
Bayes methods
learning (artificial intelligence)
machine learning
Human behavior
pubcrawl
Metrics
pattern classification
internet
unsolicited e-mail
spam detection
spam filtering
Unsolicited electronic mail
Analytical models
content information
e-mail communication
e-mail filtering
Filtering
machine learning methods
naïve Bayes classifier
offensive content
Postal services
spam e-mails
vector space model
biblio
Enhancing the Naive Bayes Spam Filter Through Intelligent Text Modification Detection
Submitted by
aekwall
on Mon, 02/25/2019 - 11:42am
Scalability
Bayes methods
machine learning algorithms
feature extraction
learning (artificial intelligence)
Human behavior
pubcrawl
Metrics
pattern classification
unsolicited e-mail
spam detection
Unsolicited electronic mail
Bayes Spam Filter
Bayesian Poisoning
computer security
e-mail filters
Email
email communication
intelligent text modification detection
Internet based information exchange venues
machine learning
machine learning algorithm
naïve Bayes classifier
Naive Bayes Spam Filter
Python algorithm
social networks
spam
spam classification
spam emails
spam filter
spam score
Spamassassin
testing
text analysis
text classification
text modifications
biblio
An Intelligent Software defined Network Controller for preventing Distributed Denial of Service Attack
Submitted by
aekwall
on Wed, 02/13/2019 - 11:59am
Computer crime
computer network security
Scalability
telecommunication traffic
Application Layer
Bayes methods
Classification algorithms
computer architecture
computer network management
cyber security
Data models
data traffic
denial of service
distributed denial of service
distributed denial of service attack
infected packets
intelligent software
intelligent software defined network controller
k-nearest neighbor
machine learning algorithms
machine learning based intelligent method
Naive Bayes
naive Bayes algorithm
nearest neighbour methods
network computing environment
network layer
network management mechanism
operating system
SDN network
Software Defined Network
Software Defined Network architecture
software defined networking
support vector machine
Support vector machines
Resiliency
Human behavior
Attack vectors
pubcrawl
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