Hybrid Quantum-Classical Neural Network for Cloud-Supported In-Vehicle Cyberattack Detection
Author:
Affiliation:
1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/9741393/09721602.pdf?arnumber=9721602
Reference11 articles.
1. Long Short-Term Memory Neural Network-Based Attack Detection Model for In-Vehicle Network Security
2. Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyberphysical Systems: A Case Study
3. GitHub - commaai/opendbc: Democratize access to car decoder rings,2022
4. TensorFlow quantum: A software framework for quantum machine learning;broughton,2020
5. Github- Hybrid QNN,2022
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