CAREER: CPS: Securing Connected Autonomous Vehicle Stack Against Adversarial Input — NSF Award to University of Texas at Arlington
As automobiles become more connected and intelligent, ensuring their cybersecurity is essential to maintaining safety and trust in future transportation systems. Self-driving cars are expected to play a significant role in future transportation. However, their advanced features—such as sensors, cameras, wireless networ
| Award title | CAREER: CPS: Securing Connected Autonomous Vehicle Stack Against Adversarial Input |
|---|---|
| Award ID | 2443252 |
| Awardee | University of Texas at Arlington |
| City | ARLINGTON |
| State | TX |
| Amount obligated | $364,952 |
| Principal investigator | Habeeb Olufowobi |
| Program | CPS-Cyber-Physical Systems, Secure &Trustworthy Cyberspace |
| Start date | 07/15/2025 |
| Abstract | As automobiles become more connected and intelligent, ensuring their cybersecurity is essential to maintaining safety and trust in future transportation systems. Self-driving cars are expected to play a significant role in future transportation. However, their advanced features—such as sensors, cameras, wireless networks, computer vision and machine learning—create new ways for attackers to interfere with vehicle operations. This project aims to protect autonomous vehicles by developing methods |
| Source | NSF Awards |
$799/mo
Try NSFGrants →