Deep-Learning-Based Intrusion Detection for Cooper

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Deep-Learning-Based Intrusion Detection for Cooper

Kaohsiung City, Taiwan
Master's Thesis Topic (industry-academia cooperation with MediaTek). Design and analyze deep-learning-based intrusion detection methods to detect attacks in Collaborative Adaptive Cruise Control (CACC). Identify three possible attacks that can be performed on CACC and propose three intrusion detection methods based on prediction, encoder-decoder reconstruction, and Generative adversarial Network.
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Published: Aug 18th 2020
50
7
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pytorch
Python
Security
Intelligent vehicle
Machine Learning

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