Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zihao, Fok, Kar Wai, Thing, Vrizlynn L. L. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
by: Wang, Zihao, et al.
Published: (2025)
by: Wang, Zihao, et al.
Published: (2025)
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
by: Zhao, Xinxing, et al.
Published: (2024)
by: Zhao, Xinxing, et al.
Published: (2024)
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
by: Kumar, Ayush, et al.
Published: (2025)
by: Kumar, Ayush, et al.
Published: (2025)
DefenSee: Dissecting Threat from Sight and Text -- A Multi-View Defensive Pipeline for Multi-modal Jailbreaks
by: Wang, Zihao, et al.
Published: (2025)
by: Wang, Zihao, et al.
Published: (2025)
Enhanced Consistency Bi-directional GAN (CBiGAN) for Malware Anomaly Detection
by: Wijayasiri, Thesath, et al.
Published: (2025)
by: Wijayasiri, Thesath, et al.
Published: (2025)
Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
by: Zhong, Xingwei, et al.
Published: (2025)
by: Zhong, Xingwei, et al.
Published: (2025)
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
by: Yang, Zhuochen, et al.
Published: (2025)
by: Yang, Zhuochen, et al.
Published: (2025)
Privacy preserving layer partitioning for Deep Neural Network models
by: Rajasekar, Kishore, et al.
Published: (2024)
by: Rajasekar, Kishore, et al.
Published: (2024)
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
by: Kumar, Ayush, et al.
Published: (2024)
by: Kumar, Ayush, 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)
A Survey of Transaction Tracing Techniques for Blockchain Systems
by: Kumar, Ayush, et al.
Published: (2025)
by: Kumar, Ayush, et al.
Published: (2025)
CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP
by: Hu, Wanyu, et al.
Published: (2024)
by: Hu, Wanyu, et al.
Published: (2024)
Robust Federated Learning for Malicious Clients using Loss Trend Deviation Detection
by: Bhaskar, Deepthy K, et al.
Published: (2026)
by: Bhaskar, Deepthy K, et al.
Published: (2026)
Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape
by: Rehman, Muaan Ur, et al.
Published: (2026)
by: Rehman, Muaan Ur, et al.
Published: (2026)
Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
by: Bas, Sumeyye, et al.
Published: (2025)
by: Bas, Sumeyye, et al.
Published: (2025)
Critical Analysis of 5G Networks Traffic Intrusion using PCA, t-SNE and UMAP Visualization and Classifying Attacks
by: Ghani, Humera, et al.
Published: (2023)
by: Ghani, Humera, et al.
Published: (2023)
FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks
by: Chen, Jian, et al.
Published: (2025)
by: Chen, Jian, et al.
Published: (2025)
An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks
by: Ha, Song Son, et al.
Published: (2026)
by: Ha, Song Son, et al.
Published: (2026)
Network Intrusion Detection: Evolution from Conventional Approaches to LLM Collaboration and Emerging Risks
by: Feng, Yaokai, et al.
Published: (2025)
by: Feng, Yaokai, et al.
Published: (2025)
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)
by: Peng, Songtao, et al.
Published: (2025)
Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
by: Ahmad, Rayed Suhail, et al.
Published: (2025)
by: Ahmad, Rayed Suhail, et al.
Published: (2025)
Quantitative Analysis of UAV Intrusion Mitigation for Border Security in 5G with LEO Backhaul Impairments
by: Upadhyay, Rajendra, et al.
Published: (2025)
by: Upadhyay, Rajendra, et al.
Published: (2025)
A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
by: Liu, Zixuan, et al.
Published: (2025)
by: Liu, Zixuan, et al.
Published: (2025)
ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems
by: Zhou, Peng, et al.
Published: (2024)
by: Zhou, Peng, et al.
Published: (2024)
A Sysmon Incremental Learning System for Ransomware Analysis and Detection
by: Ispahany, Jamil, et al.
Published: (2025)
by: Ispahany, Jamil, et al.
Published: (2025)
Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks
by: Neha, et al.
Published: (2025)
by: Neha, et al.
Published: (2025)
Across-Platform Detection of Malicious Cryptocurrency Transactions via Account Interaction Learning
by: Che, Zheng, et al.
Published: (2024)
by: Che, Zheng, et al.
Published: (2024)
Attack Effect Model based Malicious Behavior Detection
by: Wang, Limin, et al.
Published: (2025)
by: Wang, Limin, et al.
Published: (2025)
URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection
by: Tian, Ye, et al.
Published: (2025)
by: Tian, Ye, et al.
Published: (2025)
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)
by: Li, Elvin, et al.
Published: (2025)
Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models
by: Gao, Lu, et al.
Published: (2025)
by: Gao, Lu, et al.
Published: (2025)
Malicious Package Detection using Metadata Information
by: Halder, S., et al.
Published: (2024)
by: Halder, S., et al.
Published: (2024)
Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
by: Wang, Jincheng, et al.
Published: (2025)
by: Wang, Jincheng, et al.
Published: (2025)
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
by: Zhao, Yangheng, et al.
Published: (2023)
by: Zhao, Yangheng, et al.
Published: (2023)
Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
by: Gueriani, Afrah, et al.
Published: (2024)
by: Gueriani, Afrah, et al.
Published: (2024)
QML-IDS: Quantum Machine Learning Intrusion Detection System
by: Abreu, Diego, et al.
Published: (2024)
by: Abreu, Diego, et al.
Published: (2024)
Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
by: Hossain, Md Zakir, et al.
Published: (2026)
by: Hossain, Md Zakir, et al.
Published: (2026)
The Role of Learning in Attacking ML-based Network Intrusion Detection
by: Domico, Kyle, et al.
Published: (2026)
by: Domico, Kyle, et al.
Published: (2026)
Intrusion Detection System Using Deep Learning for Network Security
by: Chatterjee, Soham, et al.
Published: (2025)
by: Chatterjee, Soham, 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)
Similar Items
-
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
by: Wang, Zihao, et al.
Published: (2025) -
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
by: Zhao, Xinxing, et al.
Published: (2024) -
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
by: Kumar, Ayush, et al.
Published: (2025) -
DefenSee: Dissecting Threat from Sight and Text -- A Multi-View Defensive Pipeline for Multi-modal Jailbreaks
by: Wang, Zihao, et al.
Published: (2025) -
Enhanced Consistency Bi-directional GAN (CBiGAN) for Malware Anomaly Detection
by: Wijayasiri, Thesath, et al.
Published: (2025)