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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

malware patterns

biblio

Visible to the public Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique

Submitted by grigby1 on Thu, 10/29/2020 - 11:12am
  • malware authors
  • Vision-based malware analysis
  • traditional malware
  • Resiliency
  • resilience
  • pubcrawl
  • privacy
  • pattern classification
  • multilayered random forest ensemble technique
  • microsoft windows
  • Metrics
  • malware patterns
  • malware images
  • malware detection
  • malware classification
  • Adaptation models
  • malware
  • learning (artificial intelligence)
  • invasive software
  • hybrid model
  • Human behavior
  • Gray-scale
  • Forestry
  • feature extraction
  • Ensemble forest
  • deep neural networks
  • deep learning models
  • cyber security
  • Computational modeling

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