Identyti: Digital Storage of Personal Identification Documents; Voting Machine Security in the United States

Author:
Murray, Amanda, School of Engineering and Applied Science, University of Virginia
Advisors:
Ibrahim, Ahmed, EN-Comp Science Dept, University of Virginia
Gorman, Michael, EN-Engineering and Society, University of Virginia
Abstract:

My STS project is investigating the security and reliability of voting machines in the United States and applying the Anticipatory Governance Framework to the problem. It explores in detail the security vulnerabilities of a voting machine and potential methods to prevent exploitation of those vulnerabilities.
My Technical Project is focused on personal identity management. My team created a tool to allow users to store and save their personal documents and share those documents with enterprises that may request them such as the DMV. While there is potentially an overlap between voting and personal identification document storage in the future, these two projects did not overlap.

Degree:
BS (Bachelor of Science)
Keywords:
voting machines, anticipatory governance, personal identification storage, django web framework
Notes:

School of Engineering and Applied Science

Bachelor of Science in Computer Science
Technical Advisor: Ahmed Ibrahim
STS Advisor: Michael Gorman

Technical Team Members:Eric Burbach, Chris Han, Sri Jayakumar, Samantha Kostleni, Gio Lee, Amanda Murray

Language:
English
Rights:
All rights reserved (no additional license for public reuse)
Issued Date:
2020/05/02