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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
vulnerable functions
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
VMPBL: Identifying Vulnerable Functions Based on Machine Learning Combining Patched Information and Binary Comparison Technique by LCS
Submitted by grigby1 on Mon, 06/10/2019 - 12:55pm
privacy
vulnerable-patched functions
vulnerable functions
vulnerability types
Vulnerability
VMPBL
tools
source files
software security
Software
security of data
security
Resiliency
resilience
real-world CWE vulnerabilities
pubcrawl
binary comparison
patched information
patch file
open source code
machine learning algorithms
machine learning
learning (artificial intelligence)
knowledge database
K-Trace algorithm
feature extraction
database management systems
composability
commas software security
Classification algorithms
binary comparison technique
