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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
vulnerable components
biblio
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
Submitted by grigby1 on Tue, 11/12/2019 - 3:25pm
Snyk platform
pattern classification
performing algorithm
performing models
Prediction algorithms
prediction models
Predictive models
predictive security metrics
pubcrawl
public databases
re-sampling strategies
security
security vulnerabilities
node security project
software metrics
software security issues
static source code metrics
Support vector machines
SVM
viable practical approach
Vulnerability
vulnerability information
vulnerable components
vulnerable functions
vulnerable javascript functions
Java
code fixing patches
code metrics
Computer crime
cyber-crime activities
Databases
dataset
deep learnin
deep learning
extensive grid-search algorithm
F-measure
forest based classifiers
GitHub
challenging machine
JavaScript
JavaScript programs
learning (artificial intelligence)
machie learning
machine learning
machine learning algorithms
Measurement
Metrics
mitigation techniques
natural language processing
nearest neighbour methods
biblio
The Effect of Dimensionality Reduction on Software Vulnerability Prediction Models
Submitted by grigby1 on Thu, 12/28/2017 - 12:30pm
predictive security metrics
vulnerable components
vulnerability prediction models
text mining features
Text Mining
text analysis
term frequencies
statistical prediction models
statistical learning machinery
software metrics
security
pubcrawl
principal component analysis
computer security
Predictive models
Open Source Software
Metrics
machine learning
learning (artificial intelligence)
large software projects
Feature Selection
dimensionality reduction technique
Data mining
cross-validation
cross-project prediction experiments
confirmatory factor analysis
