Hidden Risks of Unmonitored GPUs in Intelligent Transportation Systems
Sefatun-Noor Puspa, Mashrur Chowdhury

TL;DR
This paper discusses the security and safety risks posed by unmonitored GPUs in intelligent transportation systems, emphasizing the need for better oversight to prevent performance degradation and potential misuse.
Contribution
It identifies GPU misuse as a critical security blind spot in ITS and highlights the importance of monitoring to ensure safety and performance.
Findings
Unmanaged GPU workloads degrade real-time performance
GPU misuse can lead to safety vulnerabilities
Monitoring is essential for secure ITS operation
Abstract
Graphics processing units (GPUs) power many intelligent transportation systems (ITS) and automated driving applications, but remain largely unmonitored for safety and security. This article highlights GPU misuse as a critical blind spot, showing how unmanaged GPU workloads silently degrade real-time performance, demonstrating the need for stronger security measures in ITS.
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Taxonomy
TopicsReal-Time Systems Scheduling · Vehicular Ad Hoc Networks (VANETs) · Autonomous Vehicle Technology and Safety
