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Improving the Security of Autonomous Vehicles using Evolutionary Neural Networks
Undergraduate Research and Engagement Symposium
  • Max Kurinsky
  • Brook Abegaz
Major
Environmental Engineering
Anticipated Graduation Year
2021
Access Type
Open Access
Abstract

The security of autonomous vehicles refers to the tasks of safeguarding the transportation system from attacks, risks and vulnerabilities. Autonomous vehicles include self-driving vehicles and semi-autonomous vehicles. Although is a very interesting concept, the operation of autonomous vehicles opens doors to various security attacks that require an in-depth research and experimental evaluation.

Faculty Mentors & Instructors
Brook Abegaz
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0
Citation Information
Max Kurinsky and Brook Abegaz. "Improving the Security of Autonomous Vehicles using Evolutionary Neural Networks"
Available at: http://works.bepress.com/brook-abegaz/10/