Saved in:
| Main Authors: | Fard, Hamed, Schalau, Tobias, Wunder, Gerhard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.02349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning
by: Atitallah, Safa Ben, et al.
Published: (2024)
by: Atitallah, Safa Ben, et al.
Published: (2024)
Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
by: Zhan, Zhonghao, et al.
Published: (2025)
by: Zhan, Zhonghao, et al.
Published: (2025)
Multi-agent Reinforcement Learning-based Network Intrusion Detection System
by: Tellache, Amine, et al.
Published: (2024)
by: Tellache, Amine, et al.
Published: (2024)
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
by: Yang, Wanrong, et al.
Published: (2024)
by: Yang, Wanrong, et al.
Published: (2024)
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
by: Chaudhary, Devashish, et al.
Published: (2025)
by: Chaudhary, Devashish, et al.
Published: (2025)
On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0
by: Lui, Pedro H., et al.
Published: (2025)
by: Lui, Pedro H., et al.
Published: (2025)
Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs
by: Wilkie, Jack, et al.
Published: (2025)
by: Wilkie, Jack, 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)
XAI-based Feature Selection for Improved Network Intrusion Detection Systems
by: Arreche, Osvaldo, et al.
Published: (2024)
by: Arreche, Osvaldo, et al.
Published: (2024)
Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks
by: Gómez, André García, et al.
Published: (2026)
by: Gómez, André García, et al.
Published: (2026)
Deep Learning-based Intrusion Detection Systems: A Survey
by: Xu, Zhiwei, et al.
Published: (2025)
by: Xu, Zhiwei, et al.
Published: (2025)
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
by: Zhang, Xinchen, et al.
Published: (2024)
by: Zhang, Xinchen, et al.
Published: (2024)
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
by: M., Sameera K., et al.
Published: (2025)
by: M., Sameera K., et al.
Published: (2025)
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems
by: Wang, Chenglong, et al.
Published: (2025)
by: Wang, Chenglong, et al.
Published: (2025)
An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
by: Pai, Hao-Ting, et al.
Published: (2024)
by: Pai, Hao-Ting, et al.
Published: (2024)
Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection
by: Dong, Huiyao, et al.
Published: (2025)
by: Dong, Huiyao, et al.
Published: (2025)
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
by: Zeng, Yifan
Published: (2025)
by: Zeng, Yifan
Published: (2025)
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
by: Venturi, Andrea, et al.
Published: (2024)
by: Venturi, Andrea, et al.
Published: (2024)
AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning
by: Olukola, Oluseyi, et al.
Published: (2026)
by: Olukola, Oluseyi, et al.
Published: (2026)
Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)
by: Wu, Jiashu, et al.
Published: (2023)
MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
by: Islam, Md Shamimul, et al.
Published: (2026)
by: Islam, Md Shamimul, et al.
Published: (2026)
Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
by: Amouri, Amar, et al.
Published: (2024)
by: Amouri, Amar, et al.
Published: (2024)
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI
by: Yagiz, Muhammet Anil, et al.
Published: (2024)
by: Yagiz, Muhammet Anil, et al.
Published: (2024)
AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
by: Asif, Mugheez, et al.
Published: (2024)
by: Asif, Mugheez, et al.
Published: (2024)
eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models
by: Houssel, Paul R. B., et al.
Published: (2025)
by: Houssel, Paul R. B., et al.
Published: (2025)
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
by: Liu, Ziyi, et al.
Published: (2024)
by: Liu, Ziyi, et al.
Published: (2024)
Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks
by: Soltani, Nasim, et al.
Published: (2026)
by: Soltani, Nasim, et al.
Published: (2026)
Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks
by: Debicha, Islam, et al.
Published: (2026)
by: Debicha, Islam, et al.
Published: (2026)
Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)
by: korba, Abdelaziz Amara, et al.
Published: (2024)
Payload-Aware Intrusion Detection with CMAE and Large Language Models
by: Kim, Yongcheol, et al.
Published: (2025)
by: Kim, Yongcheol, et al.
Published: (2025)
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
by: Bizzarri, Alice, et al.
Published: (2024)
by: Bizzarri, Alice, et al.
Published: (2024)
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
by: Kodys, Martin, et al.
Published: (2024)
by: Kodys, Martin, et al.
Published: (2024)
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research
by: Belarbi, Othmane, et al.
Published: (2025)
by: Belarbi, Othmane, 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)
Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems
by: Lima, Mateus Guimarães, et al.
Published: (2024)
by: Lima, Mateus Guimarães, et al.
Published: (2024)
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems
by: Ghubaish, Ali, et al.
Published: (2024)
by: Ghubaish, Ali, et al.
Published: (2024)
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks
by: Mustafa, Osama, et al.
Published: (2024)
by: Mustafa, Osama, et al.
Published: (2024)
Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
by: Akif, Md Ahnaf
Published: (2025)
by: Akif, Md Ahnaf
Published: (2025)
Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
by: Akif, Md Ahnaf, et al.
Published: (2025)
by: Akif, Md Ahnaf, et al.
Published: (2025)
Similar Items
-
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning
by: Atitallah, Safa Ben, et al.
Published: (2024) -
Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
by: Zhan, Zhonghao, et al.
Published: (2025) -
Multi-agent Reinforcement Learning-based Network Intrusion Detection System
by: Tellache, Amine, et al.
Published: (2024) -
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
by: Yang, Wanrong, et al.
Published: (2024) -
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
by: Chaudhary, Devashish, et al.
Published: (2025)