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Cyber-Physical Systems Virtual Organization

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

CPS-VO

malicious executable detection

biblio

Visible to the public Empowering convolutional networks for malware classification and analysis

Submitted by grigby1 on Tue, 01/23/2018 - 3:53pm
  • pattern classification
  • malware
  • Malware Analysis
  • malware analytics
  • malware classification
  • malware families
  • metadata
  • Metrics
  • Neural networks
  • malicious executable detection
  • PE files
  • portable executable files
  • privacy
  • pubcrawl
  • Resiliency
  • statistical analysis
  • statistical machine learning
  • Feedforward neural networks
  • convolutional networks
  • convolutional neural constructs
  • Data mining
  • disassembled malicious binary execution sequences
  • feature extraction
  • feature plain vectorization
  • feedforward neural constructs
  • feedforward neural nets
  • Convolutional codes
  • hierarchical feature extraction
  • Human behavior
  • information feature extraction
  • instruction n-grams convolution
  • invasive software
  • learning (artificial intelligence)
  • malicious executable classification

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