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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

signature-based malware detection techniques

biblio

Visible to the public A Novel Machine Learning Based Malware Detection and Classification Framework

Submitted by aekwall on Mon, 10/26/2020 - 12:13pm
  • complex malware types
  • Predictive Metrics
  • computer systems
  • Feature Selection
  • dynamic analysis
  • feature selection algorithms
  • machine learning models
  • classification accuracy
  • accurate malware detection
  • analysis report
  • classification framework
  • malware samples
  • fine-grained classification
  • high detection
  • malware analysis framework
  • malware files
  • minimum computation cost
  • selection module
  • signature-based malware detection techniques
  • system activities
  • time progresses
  • Training
  • invasive software
  • machine learning algorithms
  • feature extraction
  • learning (artificial intelligence)
  • Resiliency
  • Human behavior
  • pubcrawl
  • Metrics
  • pattern classification
  • malware
  • machine learning
  • testing
  • privacy
  • Virtual machining
  • Malware Analysis
  • cuckoo sandbox
  • malware classification
  • malware detection
  • static and dynamic analysis

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