Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods
E Owusu, M Rahouti… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose
significant threats to networked systems, causing disruptions that can lead to substantial …
significant threats to networked systems, causing disruptions that can lead to substantial …
A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection
With the increasing complexity and scale of modern networks, the demand for transparent
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …
Datasets are not enough: Challenges in labeling network traffic
In contrast to previous surveys, the present work is not focused on reviewing the datasets
used in the network security field. The fact is that many of the available public labeled …
used in the network security field. The fact is that many of the available public labeled …
Detecting unknown encrypted malicious traffic in real time via flow interaction graph analysis
Federated learning for reliable model updates in network-based intrusion detection
Abstract Machine Learning techniques for network-based intrusion detection are widely
adopted in the scientific literature. Besides being highly variable, network traffic behavior …
adopted in the scientific literature. Besides being highly variable, network traffic behavior …
Tfe-gnn: A temporal fusion encoder using graph neural networks for fine-grained encrypted traffic classification
Encrypted traffic classification is receiving widespread attention from researchers and
industrial companies. However, the existing methods only extract flow-level features, failing …
industrial companies. However, the existing methods only extract flow-level features, failing …
FastTraffic: A lightweight method for encrypted traffic fast classification
Nowadays, most Internet communications have adopted encrypted network access
technology for privacy protection, so encrypted traffic classification (ETC) has become a …
technology for privacy protection, so encrypted traffic classification (ETC) has become a …
Mt-flowformer: A semi-supervised flow transformer for encrypted traffic classification
R Zhao, X Deng, Z Yan, J Ma, Z Xue… - Proceedings of the 28th …, 2022 - dl.acm.org
With the increasing demand for the protection of personal network meta-data, encrypted
networks have grown in popularity, so do the challenge of monitoring and analyzing …
networks have grown in popularity, so do the challenge of monitoring and analyzing …