Article
Improving the Security of Autonomous Vehicles using Supervised Machine Learning
Undergraduate Research and Engagement Symposium
Major
Computer 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 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
Naxi Shah and Brook Abegaz. "Improving the Security of Autonomous Vehicles using Supervised Machine Learning" Available at: http://works.bepress.com/brook-abegaz/11/