Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

IoT malware detection

biblio

Visible to the public C500-CFG: A Novel Algorithm to Extract Control Flow-based Features for IoT Malware Detection

Submitted by grigby1 on Fri, 12/11/2020 - 2:34pm
  • Internet of Things
  • text-based methods
  • text analysis
  • static characteristic extraction method
  • Resiliency
  • resilience
  • pubcrawl
  • privacy
  • Metrics
  • malware detection
  • Malware Analysis
  • malicious code
  • IoT malware detection
  • IoT
  • invasive software
  • C500-CFG
  • Human behavior
  • high-complexity programs
  • graph theory
  • feature information
  • feature extraction
  • dynamic programming
  • Ding's NP-hard problem
  • decom-piled executable codes
  • control flow-based features
  • control flow graph
  • computer network security
  • computational complexity
  • C500-CFG algorithm

Terms of Use  |  ©2023. CPS-VO