Adaptive Quantum-Assisted Intrusion Detection for Automotive Ethernet

While Liu et al. (2024, AE-TW) and Jeong et al. (2024, AERO) focus on anomaly detection in automotive Ethernet using semi-supervised and neural approaches, both remain rooted in classical ML and face challenges with rapidly evolving attack signatures. My idea is to leverage advances in quantum machine learning (see Chen et al., 2025; Ovi et al., 2025; Jagatheesaperumal et al., 2025) to build an adaptive, quantum-assisted IDS that can process multimodal data from in-vehicle networks and spot subtle, previously unseen attack patterns in real-time. By exploiting quantum-enhanced feature extraction and neuro-symbolic reasoning, the system adapts to shifting threats and reduces false positives, potentially outperforming classical IDS in both speed and accuracy. This would be the first application of quantum AI to the real-time, safety-critical domain of automotive Ethernet, with huge implications for the security of connected vehicles.

References:

1. Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet. Jia Liu, Wenjun Fan, Yifan Dai, Enggee Lim, Zhoujin Pan, Alexei Lisitsa (2024). International Conference on Trust, Security and Privacy in Computing and Communications.
2. AERO: Automotive Ethernet Real-Time Observer for Anomaly Detection in In-Vehicle Networks. S. Jeong, H. Kim, Mee Lan Han, Byung Il Kwak (2024). IEEE Transactions on Industrial Informatics.
3. Quantum ensemble learning with a programmable superconducting processor. Jiachen Chen, Yao-Juan Wu, Zhen Yang, Shibo Xu, Xuan Ye, Daili Li, Ke Wang, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Zhen Cui, Ao Zhang, Ning Wang, Y. Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Ze-Han Bao, Zi-Yue Zhu, Zi-Xuan Song, Jinfeng Deng, Hang Dong, Pengfei Zhang, Wei Zhang, HE-PING Li, Qi-Wei Guo, Zhen Wang, Ying Li, Xiaoting Wang, Chaochao Song, H. Wang (2025). npj Quantum Information.
4. Multiqubit Quantum Convolutional Neural Networks for Efficient AI-Driven Healthcare Analytics. Tareque Bashar Ovi, Nomaiya Bashree, Ayat Subah Alam, R. Tanzim, Md Abdul Wahed, Hussain Nyeem (2025). 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN).
5. Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking. S. Jagatheesaperumal, Shehzad Ali, Aziz Alotaibi, K. Muhammad, V. H. C. de Albuquerque, Mohsen Guizani (2025). IEEE Network.