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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

ransomware sequences

biblio

Visible to the public Attention in Recurrent Neural Networks for Ransomware Detection

Submitted by aekwall on Mon, 10/07/2019 - 11:42am
  • Metrics
  • Windows environment
  • user access
  • Scalability
  • Resiliency
  • Recurrent neural networks
  • recurrent neural nets
  • ransomware sequences
  • ransomware executables
  • ransomware detection
  • ransomware attacks
  • Ransomware
  • pubcrawl
  • pattern locks
  • organizational level
  • Microprocessors
  • attention mechanisms
  • malware detection
  • malicious software
  • LSTM models
  • LSTM
  • Long short-term memory
  • Logic gates
  • learning (artificial intelligence)
  • invasive software
  • Human behavior
  • deep learning methods
  • deep learning
  • computer security
  • computer architecture
  • composability

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