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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

Android ransomware detection

biblio

Visible to the public An Effective Android Ransomware Detection Through Multi-Factor Feature Filtration and Recurrent Neural Network

Submitted by aekwall on Mon, 03/23/2020 - 1:25pm
  • smart phones
  • multifactor feature filtration
  • majority voting process
  • Long short-term memory
  • filtration
  • feature selection algorithms
  • feature filtration techniques
  • deep learning-based malware detection model
  • Android ransomware detection
  • Android malware dataset
  • Android malware
  • Android environment
  • recurrent neural network
  • defense mechanisms
  • recurrent neural nets
  • forensic analysis
  • security
  • Malware Analysis
  • Digital Forensics
  • Metrics
  • deep learning
  • Ransomware
  • composability
  • pubcrawl
  • Resiliency
  • learning (artificial intelligence)
  • Feature Selection
  • feature extraction
  • mobile computing
  • invasive software
  • smart devices

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