SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction
The exponential growth of autonomous systems demands robust security mechanisms that can operate within the extreme constraints of real-time embedded environments. This paper introduces SMART DShot, a groundbreaking machine learning-enhanced framework that transforms the security landscape of unmann...
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| Main Authors: | Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-08-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/15/8619 |
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