Profiling NPOs in need for Cybersecurity Readiness Evaluation

This project presents a data-driven approach to identifying nonprofit organizations (NPOs) in need of cybersecurity support. Leveraging public data from Charity Navigator, GuideStar, and IRS Form 990 filings, the team implemented clustering techniques to segment over 80,000 Pennsylvania-based NPOs. After extensive data cleaning and dimensionality reduction, a two-cluster model was selected based on silhouette score analysis. Evaluation against a curated list of 113 NPOs in known need demonstrated promising alignment, with most matched organizations falling into the predicted high-risk cluster. The findings support future efforts to target cybersecurity resources where they are most needed and offer a scalable framework for broader application.

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Work Title Profiling NPOs in need for Cybersecurity Readiness Evaluation
Subtitle National Conference on Undergraduate Research (NCUR) 2025
Access
Open Access
Creators
  1. Mahir Rahim Khan
  2. Praneeth Sunkavali
  3. Mahima Jain
  4. Anivesh Sinha
  5. Premkumar Krishnamurthy
  6. Vikrant Gokhale
License In Copyright (Rights Reserved)
Work Type Presentation
Acknowledgments
  1. Maryam Roshanaei
  2. Jennifer Breese
  3. Brian Gardner
  4. Michael Bartolacci
  5. Dusan Ramljak
Publication Date 2025
Deposited April 18, 2025

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Version 1
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  • Created
  • Updated
  • Updated Subtitle, Description, Publication Date Show Changes
    Subtitle
    • National Conference on Undergraduate Research (NCUR) 2025
    Description
    • This project presents a data-driven approach to identifying nonprofit organizations (NPOs) in need of cybersecurity support. Leveraging public data from Charity Navigator, GuideStar, and IRS Form 990 filings, the team implemented clustering techniques to segment over 80,000 Pennsylvania-based NPOs. After extensive data cleaning and dimensionality reduction, a two-cluster model was selected based on silhouette score analysis. Evaluation against a curated list of 113 NPOs in known need demonstrated promising alignment, with most matched organizations falling into the predicted high-risk cluster. The findings support future efforts to target cybersecurity resources where they are most needed and offer a scalable framework for broader application.
    Publication Date
    • 2025
  • Updated Acknowledgments Show Changes
    Acknowledgments
    • Maryam Roshanaei, Jennifer Breese, Brian Gardner, Michael Bartolacci, Dusan Ramljak
  • Added Creator Mahir Khan, Praneeth Sunkavali, Mahima Jain, Anivesh Sinha, Premkumar Krishnamurthy, and Vikrant Gokhale
  • Added Khan_Presentation_Final.pdf
  • Updated License Show Changes
    License
    • https://rightsstatements.org/page/InC/1.0/
  • Published
  • Updated
  • Updated
  • Deleted Creator Mahir Khan, Praneeth Sunkavali, Mahima Jain, Anivesh Sinha, Premkumar Krishnamurthy, and Vikrant Gokhale
  • Added Creator Mahir Rahim Khan
  • Added Creator Praneeth Sunkavali
  • Added Creator Mahima Jain
  • Added Creator Anivesh Sinha
  • Added Creator Premkumar Krishnamurthy
  • Added Creator Vikrant Gokhale