Identity-based Internet Filtering

Tom Ingram presented Identity-based Internet Filtering at FAEDS in September, 2011.

This session will provide a snapshot of a medium size district’s implementation of identity-based Internet filtering.

  1. Escambia County School District Overview
    • 47 schools (almost all Title I eligible)
    • 19 charter schools and other programs
    • 39,000 students
    • 19,000 computers
      • 60% Windows
      • 40% Mac
  2. IT Support Staff
    • District-based
      • 13 Technology Support
      • 7 Network Staff
      • 7 Instructional Technology
    • 40 school-based Technology Coordinators
  3. Technology Systems
    • Network Operating System – Novell
    • Network Infrastructure
      • Cisco
      • Dell
      • Aruba
  4. One Size Fits All
    • All users used the same filtering policy
    • Reasons for filtering
      • Student safety
      • Classroom management
      • Employee productivity
      • Bandwidth preservation
  5. Filtering by Groups
    • Student
    • Teacher/Staff
    • IT
    • Selected administrators
  6. How do we filter?
    • Most filtering is done by category
    • Specific allowed web sites are added to a whitelist
    • Specific blocked web sites are added to a blacklist
    • Whitelisting and blacklisting well can be very time consuming
  7. What should we block?
  8. Blocked Categories
  9. Category Weighting – www.starfall.com categorized as education (80) and games (0) would be unblocked
  10. What have we learned?
  • Many teachers are completely dependent on identity-based filtering
  • Most users want filtering to assist with classroom management and other employee’s productivity

Standard Operating Procedure for Blocking and Unblocking Web Sites

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