Applying a Deep Neural Network and Feature Engineering to Assess the Impact of Attacks on Autonomous Vehicles
Autonomous vehicles are expected to reduce traffic accident casualties, as driver distraction accounts for 90% of accidents. These vehicles rely on sensors and controllers to operate independently, requiring robust security mechanisms to prevent malicious takeovers. This research proposes a novel ap...
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| Main Authors: | Sara Ftaimi, Tomader Mazri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/7/388 |
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