Cover Image

Towards a graph-based foundation model for network traffic analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Van Langendonck, Louis, Castell-Uroz, Ismael, Barlet-Ros, Pere
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A first look into Utiq: Next-generation cookies at the ISP level
by: Castell-Uroz, Ismael, et al.
Published: (2024)

PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security
by: Van Langendonck, Louis, et al.
Published: (2024)

Towards Explainable Meta-Learning for DDoS Detection
by: Zhou, Qianru, et al.
Published: (2022)

A Review of Machine Learning-based Security in Cloud Computing
by: Babaei, Aptin, et al.
Published: (2023)

Towards Explainable Network Intrusion Detection using Large Language Models
by: Houssel, Paul R. B., et al.
Published: (2024)

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection
by: Kalogiannis, Konstantinos, et al.
Published: (2025)

Improving the network traffic classification using the Packet Vision approach
by: Moreira, Rodrigo, et al.
Published: (2024)

Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
by: He, Jiayi, et al.
Published: (2024)

A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks
by: Boone, Julia, et al.
Published: (2025)

AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
by: Anyfantis, Georgios, et al.
Published: (2025)

Strategic Deployment of Honeypots in Blockchain-based IoT Systems
by: Commey, Daniel, et al.
Published: (2024)

A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows
by: Miguel-Diez, Alberto, et al.
Published: (2025)

AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons
by: Li, Hexu, et al.
Published: (2025)

Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base
by: Verma, Satvik, et al.
Published: (2025)

PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks
by: Kalogiannis, Konstantinos, et al.
Published: (2026)

Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
by: Al-Masri, Eyhab
Published: (2025)

Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows
by: Feito-Casares, Enrique, et al.
Published: (2026)

Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
by: Huang, Sizhe, et al.
Published: (2026)

Detecting and Mitigating DDoS Attacks with AI: A Survey
by: Apostu, Alexandru, et al.
Published: (2025)

Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis
by: Kouchaki, Mohammadreza, et al.
Published: (2024)

Intrusion Prevention through Optimal Stopping
by: Hammar, Kim, et al.
Published: (2021)

Learning Intrusion Prevention Policies through Optimal Stopping
by: Hammar, Kim, et al.
Published: (2021)

Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
by: Fu, Rong, et al.
Published: (2026)

On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Description
by: Stamatelis, George, et al.
Published: (2024)

Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
by: Alshmarni, Amaal F., et al.
Published: (2023)

An Attentive Graph Agent for Topology-Adaptive Cyber Defence
by: Sandoval, Ilya Orson, et al.
Published: (2025)

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
by: Kaya, Kiymet, et al.
Published: (2024)

PHASE: Passive Human Activity Simulation Evaluation
by: Lamp, Steven, et al.
Published: (2025)

ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
by: Shajarian, Shaghayegh, et al.
Published: (2025)

F-KANs: Federated Kolmogorov-Arnold Networks
by: Zeydan, Engin, et al.
Published: (2024)

Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services
by: Cheng, Zhipeng, et al.
Published: (2025)

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
by: Kostas, Kahraman, et al.
Published: (2023)

MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
by: Sharma, Prakhar, et al.
Published: (2025)

Hybridizing Base-Line 2D-CNN Model with Cat Swarm Optimization for Enhanced Advanced Persistent Threat Detection
by: Bakhiet, Ali M., et al.
Published: (2024)

AI/ML Based Detection and Categorization of Covert Communication in IPv6 Network
by: Rahman, Mohammad Wali Ur, et al.
Published: (2025)

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
by: Anyfantis, Georgios, et al.
Published: (2026)

Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
by: Kostas, Kahraman, et al.
Published: (2024)

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification
by: Lin, Xinjie, et al.
Published: (2025)

LAPRAD: LLM-Assisted PRotocol Attack Discovery
by: Aygun, R. Can, et al.
Published: (2025)

STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
by: Wang, Kai, et al.
Published: (2023)