Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Luay, Majed, Layeghy, Siamak, Hosseininoorbin, Seyedehfaezeh, Sarhan, Mohanad, Moustafa, Nour, Portmann, Marius |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets
por: Layeghy, Siamak, et al.
Publicado: (2021)
por: Layeghy, Siamak, et al.
Publicado: (2021)
Towards Explainable Network Intrusion Detection using Large Language Models
por: Houssel, Paul R. B., et al.
Publicado: (2024)
por: Houssel, Paul R. B., et al.
Publicado: (2024)
P4-NIDS: High-Performance Network Monitoring and Intrusion Detection in P4
por: Chen, Yaying, et al.
Publicado: (2024)
por: Chen, Yaying, et al.
Publicado: (2024)
Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks
por: Wagner, Eric, et al.
Publicado: (2025)
por: Wagner, Eric, et al.
Publicado: (2025)
A Novel Open Set Energy-based Flow Classifier for Network Intrusion Detection
por: Souza, Manuela M. C., et al.
Publicado: (2021)
por: Souza, Manuela M. C., et al.
Publicado: (2021)
eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models
por: Houssel, Paul R. B., et al.
Publicado: (2025)
por: Houssel, Paul R. B., et al.
Publicado: (2025)
Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection
por: Farasat, Talaya, et al.
Publicado: (2024)
por: Farasat, Talaya, et al.
Publicado: (2024)
ConCap: Practical Network Traffic Generation for (ML- and) Flow-based Intrusion Detection Systems
por: Verkerken, Miel, et al.
Publicado: (2025)
por: Verkerken, Miel, et al.
Publicado: (2025)
Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection
por: Doriguzzi-Corin, Roberto, et al.
Publicado: (2023)
por: Doriguzzi-Corin, Roberto, et al.
Publicado: (2023)
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
por: Li, Ruoyu, et al.
Publicado: (2024)
por: Li, Ruoyu, et al.
Publicado: (2024)
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
por: Cantone, Marco, et al.
Publicado: (2024)
por: Cantone, Marco, et al.
Publicado: (2024)
LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks
por: Adjewa, Frederic, et al.
Publicado: (2024)
por: Adjewa, Frederic, et al.
Publicado: (2024)
A Case for Network-wide Orchestration of Host-based Intrusion Detection and Response
por: Timmons, Mark, et al.
Publicado: (2025)
por: Timmons, Mark, et al.
Publicado: (2025)
Over-Threshold Multiparty Private Set Intersection for Collaborative Network Intrusion Detection
por: Arpaci, Onur Eren, et al.
Publicado: (2025)
por: Arpaci, Onur Eren, et al.
Publicado: (2025)
Efficient Intrusion Detection: Combining $χ^2$ Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset
por: Jouhari, Mohammed, et al.
Publicado: (2024)
por: Jouhari, Mohammed, et al.
Publicado: (2024)
Resource-Aware Layered Intrusion Detection Allocation Model
por: Pădurean, Ioan, et al.
Publicado: (2026)
por: Pădurean, Ioan, et al.
Publicado: (2026)
A Secured Intent-Based Networking (sIBN) with Data-Driven Time-Aware Intrusion Detection
por: Izuazu, Urslla Uchechi, et al.
Publicado: (2025)
por: Izuazu, Urslla Uchechi, et al.
Publicado: (2025)
Ruling the Unruly: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers
por: Teuwen, Koen T. W., et al.
Publicado: (2025)
por: Teuwen, Koen T. W., et al.
Publicado: (2025)
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
por: Sun, Shihua, et al.
Publicado: (2024)
por: Sun, Shihua, et al.
Publicado: (2024)
SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks
por: Soomro, Imtiaz Ali, et al.
Publicado: (2026)
por: Soomro, Imtiaz Ali, et al.
Publicado: (2026)
A Comparative Study of Recent Advances in Internet of Intrusion Detection Things
por: Rezk, Marianna, et al.
Publicado: (2026)
por: Rezk, Marianna, et al.
Publicado: (2026)
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
por: Jamshidi, Saeid, et al.
Publicado: (2025)
por: Jamshidi, Saeid, et al.
Publicado: (2025)
NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
por: Qian, Chen, et al.
Publicado: (2024)
por: Qian, Chen, et al.
Publicado: (2024)
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
por: Vitorino, João, et al.
Publicado: (2024)
por: Vitorino, João, et al.
Publicado: (2024)
Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)
por: Tripathy, Sudhanshu Sekhar, et al.
Publicado: (2025)
MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining
por: Kulatilleke, Gayan K., et al.
Publicado: (2026)
por: Kulatilleke, Gayan K., et al.
Publicado: (2026)
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
por: Silva, Miguel, et al.
Publicado: (2024)
por: Silva, Miguel, et al.
Publicado: (2024)
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
por: Gupta, Ragini, et al.
Publicado: (2025)
por: Gupta, Ragini, et al.
Publicado: (2025)
XAI FL-IDS: A Federated Learning and SHAP-Based Explainable Framework for Distributed Intrusion Detection Systems
por: Gholamrezazadeh, Mohammad Hossein, et al.
Publicado: (2026)
por: Gholamrezazadeh, Mohammad Hossein, et al.
Publicado: (2026)
Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework
por: Li, Hongjuan, et al.
Publicado: (2026)
por: Li, Hongjuan, et al.
Publicado: (2026)
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
por: Ennaji, Sabrine, et al.
Publicado: (2024)
por: Ennaji, Sabrine, et al.
Publicado: (2024)
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
por: Vitorino, João, et al.
Publicado: (2023)
por: Vitorino, João, et al.
Publicado: (2023)
Sequential Binary Classification for Intrusion Detection
por: Vasudevan, Shrihari, et al.
Publicado: (2024)
por: Vasudevan, Shrihari, et al.
Publicado: (2024)
Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
por: Yang, Shuo, et al.
Publicado: (2025)
por: Yang, Shuo, et al.
Publicado: (2025)
Sdn Intrusion Detection Using Machine Learning Method
por: Mahmud, Muhammad Zawad, et al.
Publicado: (2024)
por: Mahmud, Muhammad Zawad, et al.
Publicado: (2024)
RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks
por: Singh, Gurjot, et al.
Publicado: (2025)
por: Singh, Gurjot, et al.
Publicado: (2025)
Online Self-Supervised Deep Learning for Intrusion Detection Systems
por: Nakıp, Mert, et al.
Publicado: (2023)
por: Nakıp, Mert, et al.
Publicado: (2023)
Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
por: Vitale, Francesco, et al.
Publicado: (2026)
por: Vitale, Francesco, et al.
Publicado: (2026)
Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
por: elShehaby, Mohamed, et al.
Publicado: (2023)
por: elShehaby, Mohamed, et al.
Publicado: (2023)
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
por: Baidar, Rasil, et al.
Publicado: (2025)
por: Baidar, Rasil, et al.
Publicado: (2025)
Ejemplares similares
-
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets
por: Layeghy, Siamak, et al.
Publicado: (2021) -
Towards Explainable Network Intrusion Detection using Large Language Models
por: Houssel, Paul R. B., et al.
Publicado: (2024) -
P4-NIDS: High-Performance Network Monitoring and Intrusion Detection in P4
por: Chen, Yaying, et al.
Publicado: (2024) -
Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks
por: Wagner, Eric, et al.
Publicado: (2025) -
A Novel Open Set Energy-based Flow Classifier for Network Intrusion Detection
por: Souza, Manuela M. C., et al.
Publicado: (2021)