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Read-only archive of site from September 29, 2023.

CPS-VO

forest based classifiers

biblio

Visible to the public Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions

Submitted by grigby1 on Tue, 11/12/2019 - 4:25pm
  • 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

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