Deep Defence on Wheels: A Dual Intrusion Detection System Architecture for Comprehensive In-Vehicle Network Security
cs.CR, cs.AR, cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/RCSLTCD/QLSTM-IDS
Sources
- Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System
- Using Data Analytics to Detect Anomalous States in Vehicles
- Streamlined Deployment for Quantized Neural Networks
- Training and Inference with Integers in Deep Neural Networks
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