FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
arXiv:2512.24391v1h-index: 57
Originality Synthesis-oriented
AI Analysis
This addresses security challenges for connected and autonomous vehicles, but appears incremental as it builds on existing intrusion detection methods with compression techniques.
The paper tackles real-time threat detection in connected and autonomous vehicles by implementing a fast two-stage intrusion detection system with hybrid compression, enabling deployment in resource-constrained environments.
We have implemented a multi-stage IDS for CAVs that can be deployed to resourec-constrained environments after hybrid model compression.