The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

9 March 2022

Papers citing "The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems"

12 / 12 papers shown

Title
SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers Nimesha Wickramasinghe Arash Shaghaghi Gene Tsudik S. Jha 46 0 0 25 Mar 2025
Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection Leonardo Henrique de Melo G. Bertoli Michele Nogueira A. Santos Lourenço Alves Pereira Junior 53 0 0 18 Mar 2025
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems Majed Luay S. Layeghy Seyedehfaezeh Hosseininoorbin Mohanad Sarhan Nour Moustafa Marius Portmann 50 0 0 06 Mar 2025
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks Xiang Li Jing Zhang Yalin Yuan Cangqi Zhou 16 3 0 26 Oct 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 27 2 0 05 Sep 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese P. Laskov J. Schneider 28 24 0 30 Apr 2023
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach G. Bertoli Lourencco Alves Pereira Junior A. Santos O. Saotome FedML 27 54 0 01 Sep 2022
The Role of Machine Learning in Cybersecurity Giovanni Apruzzese P. Laskov Edgardo Montes de Oca Wissam Mallouli Luis Brdalo Rapa A. Grammatopoulos Fabio Di Franco 27 128 0 20 Jun 2022
On Generalisability of Machine Learning-based Network Intrusion Detection Systems S. Layeghy Marius Portmann AAML 11 18 0 09 May 2022
A Novel Open Set Energy-based Flow Classifier for Network Intrusion Detection Manuela M. C. Souza Camila F. T. Pontes J. Gondim Luis P. F. Garcia Luiz DaSilva M. Marotta 18 2 0 23 Sep 2021
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels R. Joyce Edward Raff Charles K. Nicholas 33 16 0 23 Sep 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 16 60 0 15 Apr 2021