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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

supervised learning technique

biblio

Visible to the public Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities

Submitted by aekwall on Mon, 03/09/2020 - 11:12am
  • Mitch approach
  • web security
  • tools
  • Task Analysis
  • supervised learning techniques
  • supervised learning technique
  • sensitive HTTP requests
  • security of data
  • Security Heuristics
  • security
  • Scalability
  • Resiliency
  • pubcrawl
  • predictability
  • Black Box Security
  • Manuals
  • machine learning solution
  • machine learning approach
  • machine learning
  • learning (artificial intelligence)
  • internet
  • HTTP requests
  • Forgery
  • CSRF vulnerabilities
  • cross-site request forgery
  • Cross Site Request Forgery
  • Browsers
  • black-box detection
biblio

Visible to the public Detecting Malicious Authentication Events Trustfully

Submitted by grigby1 on Mon, 08/05/2019 - 11:36am
  • resilience
  • malicious authentication event detection
  • malicious class
  • pattern classification
  • policy-based governance
  • Predictive models
  • pubcrawl
  • random forest model
  • regression analysis
  • Los Alamos dataset
  • Resiliency
  • Scalability
  • security logs
  • supervised learning technique
  • Trusted Computing
  • trustful predictions
  • ultimately majority voting model
  • false trust
  • authentication
  • authentication event
  • Bipartite graph
  • collaboration
  • Computational modeling
  • false attacks
  • false negative rate
  • false positive rate
  • Anomaly Detection
  • feature extraction
  • Forestry
  • learning (artificial intelligence)
  • legitimate user behavior
  • logistic regression model
  • Logistics
  • LogitBoost model

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