Improving the Security of Autonomous Vehicles using Supervised Machine Learning

Naxi Shah, Brook Abegaz

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
JournalUndergraduate Research and Engagement Symposium
StatePublished - 1800

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