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

enhanced p-sensitive k-anonymity models

biblio

Visible to the public Enhanced p-Sensitive k-Anonymity Models for Achieving Better Privacy

Submitted by grigby1 on Thu, 01/28/2021 - 1:59pm
  • Metrics
  • skew attacks
  • sensitive groups
  • sensitive attacks
  • Resists
  • Resiliency
  • resilience
  • Publishing
  • pubcrawl
  • Privacy Requirements
  • privacy
  • personalized protection characteristic
  • personalized privacy protection
  • Partitioning algorithms
  • one size fits all unified privacy protection level
  • anonymity
  • Human behavior
  • homogeneous attacks
  • faces
  • enhanced p-sensitive k-anonymity models
  • enhanced anonymous models
  • data utility
  • data publishing
  • data privacy
  • Data models
  • data anonymity
  • composability
  • Clustering algorithms
  • clustering

Terms of Use  |  ©2023. CPS-VO