Saved in:
| Main Authors: | Wang, Kai, Sun, Zhen, Wang, Bailing, Fan, Qilin, Li, Ming, Zhang, Hongke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.17067 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
by: Wang, Kai, et al.
Published: (2023)
by: Wang, Kai, et al.
Published: (2023)
Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems
by: Li, Huacheng, et al.
Published: (2025)
by: Li, Huacheng, et al.
Published: (2025)
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
by: Zhang, Aiheng, et al.
Published: (2023)
by: Zhang, Aiheng, et al.
Published: (2023)
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
by: Marchiori, Francesco, et al.
Published: (2024)
by: Marchiori, Francesco, et al.
Published: (2024)
Benchmarking Frameworks and Comparative Studies of Controller Area Network (CAN) Intrusion Detection Systems: A Review
by: Sharmin, Shaila, et al.
Published: (2024)
by: Sharmin, Shaila, et al.
Published: (2024)
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN
by: Khandelwal, Shashwat, et al.
Published: (2024)
by: Khandelwal, Shashwat, et al.
Published: (2024)
Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
by: Digregorio, Gabriele, et al.
Published: (2025)
by: Digregorio, Gabriele, et al.
Published: (2025)
CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations
by: Donadel, Denis, et al.
Published: (2025)
by: Donadel, Denis, et al.
Published: (2025)
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph
by: Jiang, Wenhan, et al.
Published: (2025)
by: Jiang, Wenhan, et al.
Published: (2025)
CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus
by: Oberti, Franco, et al.
Published: (2025)
by: Oberti, Franco, et al.
Published: (2025)
CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
by: Sajib, Rakib Hossain, et al.
Published: (2026)
by: Sajib, Rakib Hossain, et al.
Published: (2026)
A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
by: Althunayyan, Muzun, et al.
Published: (2025)
by: Althunayyan, Muzun, et al.
Published: (2025)
FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
by: S, Devika, et al.
Published: (2025)
by: S, Devika, et al.
Published: (2025)
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
by: Khandelwal, Shashwat, et al.
Published: (2024)
by: Khandelwal, Shashwat, et al.
Published: (2024)
Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection
by: Yang, Fan, et al.
Published: (2026)
by: Yang, Fan, et al.
Published: (2026)
A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
by: Uddin, Md Ashraf, et al.
Published: (2025)
by: Uddin, Md Ashraf, et al.
Published: (2025)
REACT: Autonomous Intrusion Response System for Intelligent Vehicles
by: Hamad, Mohammad, et al.
Published: (2024)
by: Hamad, Mohammad, et al.
Published: (2024)
An Explainable Ensemble-based Intrusion Detection System for Software-Defined Vehicle Ad-hoc Networks
by: Ahsan, Shakil Ibne, et al.
Published: (2023)
by: Ahsan, Shakil Ibne, et al.
Published: (2023)
A PUF-Based Security Framework for Fault and Intrusion Detection
by: Oun, Ahmed, et al.
Published: (2026)
by: Oun, Ahmed, et al.
Published: (2026)
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
by: Zhang, Xinchen, et al.
Published: (2024)
by: Zhang, Xinchen, et al.
Published: (2024)
From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection
by: Sun, Danyu, et al.
Published: (2025)
by: Sun, Danyu, et al.
Published: (2025)
Toward an Intrusion Detection System for a Virtualization Framework in Edge Computing
by: de Matos, Everton, et al.
Published: (2025)
by: de Matos, Everton, et al.
Published: (2025)
Federated Intrusion Detection System Based on Unsupervised Machine Learning
by: Gourceyraud, Maxime, et al.
Published: (2025)
by: Gourceyraud, Maxime, et al.
Published: (2025)
Intrusion Detection in Internet of Vehicles Using Machine Learning
by: Le, Hop, et al.
Published: (2025)
by: Le, Hop, et al.
Published: (2025)
HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection
by: Sun, Danyu, et al.
Published: (2026)
by: Sun, Danyu, et al.
Published: (2026)
A Robust Multi-Stage Intrusion Detection System for In-Vehicle Network Security using Hierarchical Federated Learning
by: Althunayyan, Muzun, et al.
Published: (2024)
by: Althunayyan, Muzun, et al.
Published: (2024)
CAN-QA: A Question-Answering Benchmark for Reasoning over In-Vehicle CAN Traffic
by: Chen, Jing, et al.
Published: (2026)
by: Chen, Jing, et al.
Published: (2026)
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
by: Khandelwal, Shashwat, et al.
Published: (2024)
by: Khandelwal, Shashwat, et al.
Published: (2024)
X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network
by: Jeong, Seonghoon, et al.
Published: (2023)
by: Jeong, Seonghoon, et al.
Published: (2023)
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)
by: Tafreshian, Benyamin, et al.
Published: (2025)
BERTector: An Intrusion Detection Framework Constructed via Joint-dataset Learning Based on Language Model
by: Hu, Haoyang, et al.
Published: (2025)
by: Hu, Haoyang, et al.
Published: (2025)
Deployment Challenges of Industrial Intrusion Detection Systems
by: Wolsing, Konrad, et al.
Published: (2024)
by: Wolsing, Konrad, et al.
Published: (2024)
CAN-MM: Multiplexed Message Authentication Code for Controller Area Network message authentication in road vehicles
by: Oberti, Franco, et al.
Published: (2022)
by: Oberti, Franco, et al.
Published: (2022)
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)
by: Li, Elvin, et al.
Published: (2025)
ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System
by: Puccetti, Tommaso, et al.
Published: (2024)
by: Puccetti, Tommaso, et al.
Published: (2024)
Temporal Analysis Framework for Intrusion Detection Systems: A Novel Taxonomy for Time-Aware Cybersecurity
by: Parlanti, Tatiana S., et al.
Published: (2025)
by: Parlanti, Tatiana S., et al.
Published: (2025)
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
by: Zhang, Hangsheng, et al.
Published: (2024)
by: Zhang, Hangsheng, et al.
Published: (2024)
PQ-CAN: A Framework for Simulating Post-Quantum Cryptography in Embedded Systems
by: Conti, Mauro, et al.
Published: (2025)
by: Conti, Mauro, et al.
Published: (2025)
Deep Learning-based Intrusion Detection Systems: A Survey
by: Xu, Zhiwei, et al.
Published: (2025)
by: Xu, Zhiwei, et al.
Published: (2025)
ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems
by: Fuhrman, Sean, et al.
Published: (2026)
by: Fuhrman, Sean, et al.
Published: (2026)
Similar Items
-
STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
by: Wang, Kai, et al.
Published: (2023) -
Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems
by: Li, Huacheng, et al.
Published: (2025) -
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
by: Zhang, Aiheng, et al.
Published: (2023) -
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
by: Marchiori, Francesco, et al.
Published: (2024) -
Benchmarking Frameworks and Comparative Studies of Controller Area Network (CAN) Intrusion Detection Systems: A Review
by: Sharmin, Shaila, et al.
Published: (2024)