Pere Barlet-Ros

IEEE/ACM Trans. Netw., December, 2023

A One-Pass Clustering Based Sketch Method for Network Monitoring.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., December, 2023

Early detection of new web tracking methods across 1.5 million sites.

[BibT_eX]

[DOI]

Óscar Sánchez-de-Mingo

Comput. Commun., October, 2023

TrackSign-labeled web tracking dataset.

[BibT_eX]

[DOI]

Comput. Networks, May, 2023

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., April, 2023

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.

[BibT_eX]

[DOI]

IEEE Netw., 2023

Building a Graph-based Deep Learning network model from captured traffic traces.

[BibT_eX]

[DOI]

Carlos Güemes-Palau

CoRR, 2023

Topological Graph Signal Compression.

[BibT_eX]

[DOI]

Guillermo Bernárdez

Lev Telyatnikov

Eduard Alarcón

Pietro Liò

CoRR, 2023

GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Spatial and Temporal Correlations for Network Traffic Compression.

[BibT_eX]

[DOI]

CoRR, 2023

ePrivo.eu: An Online Service for Automatic Web Tracking Discovery.

[BibT_eX]

[DOI]

Ismael Douha-Prieto

Meritxell Basart-Dotras

Pol Mesegué-Molina

IEEE Access, 2023

ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss.

[BibT_eX]

[DOI]

Kensuke Fukuda

Proceedings of the IEEE INFOCOM 2023, 2023

Detecting Contextual Network Anomalies with Graph Neural Networks.

[BibT_eX]

[DOI]

Hamid Latif

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

Topological Network Traffic Compression.

[BibT_eX]

[DOI]

Guillermo Bernárdez

Lev Telyatnikov

Eduard Alarcón

Pietro Liò

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

Detecting and Analyzing Mouse Tracking in the Wild.

[BibT_eX]

[DOI]

Marcel Urpí-Bricollé

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Enhancing 5G Radio Planning with Graph Representations and Deep Learning.

[BibT_eX]

[DOI]

Andra Lutu

Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements, 2023

2022

Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of Experience.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2022

Unveiling the potential of Graph Neural Networks for robust Intrusion Detection.

[BibT_eX]

[DOI]

David Pujol-Perich

SIGMETRICS Perform. Evaluation Rev., 2022

Guest Editorial: Special Issue on Measurements, Sensors and Standards in Modern Communication Networks.

[BibT_eX]

[DOI]

Domenico Capriglione

António Espírito-Santo

IEEE Instrum. Meas. Mag., 2022

Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow.

[BibT_eX]

[DOI]

Ángela López-Cardona

Guillermo Bernárdez

CoRR, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.

[BibT_eX]

[DOI]

CoRR, 2022

Digital Twin Network: Opportunities and Challenges.

[BibT_eX]

[DOI]

Antonio Agustin Pastor Perales

CoRR, 2022

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.

[BibT_eX]

[DOI]

Comput. Commun., 2022

Building a Digital Twin for network optimization using Graph Neural Networks.

[BibT_eX]

[DOI]

Comput. Networks, 2022

Amazon Alexa traffic traces.

[BibT_eX]

[DOI]

Rubén Barceló-Armada

Comput. Networks, 2022

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Comput. Networks, 2022

Network Digital Twin: Context, Enabling Technologies, and Opportunities.

[BibT_eX]

[DOI]

Antonio Agustin Pastor Perales

IEEE Commun. Mag., 2022

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2022, 2022

FlowDT: A Flow-Aware Digital Twin for Computer Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Unveiling the potential of graph neural networks for BGP anomaly detection.

[BibT_eX]

[DOI]

Hamid Latif

Jordi Paillisse

Jinze Yang

Proceedings of the 1st International Workshop on Graph Neural Networking, 2022

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Network and Service Management, 2022

2021

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Scaling Graph-based Deep Learning models to larger networks.

[BibT_eX]

[DOI]

Krzysztof Rusek

CoRR, 2021

ENERO: Efficient Real-Time Routing Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.

[BibT_eX]

[DOI]

Comput. Commun. Rev., 2021

IGNNITION: fast prototyping of graph neural networks for communication networks.

[BibT_eX]

[DOI]

David Pujol-Perich

Bo Wu

Shihan Xiao

Xiangle Cheng

Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021

Jellyfish: Locality-Sensitive Subflow Sketching.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

TrackSign: Guided Web Tracking Discovery.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Is Machine Learning Ready for Traffic Engineering Optimization?

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

2020

RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2020

Network Measurements for Web Tracking Analysis and Detection: A Tutorial.

[BibT_eX]

[DOI]

IEEE Instrum. Meas. Mag., 2020

Applying Graph-based Deep Learning To Realistic Network Scenarios.

[BibT_eX]

[DOI]

CoRR, 2020

Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Network and Service Management, 2020

URL-based Web Tracking Detection Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Network and Service Management, 2020

2019

A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2019

Routing in optical transport networks with deep reinforcement learning.

[BibT_eX]

[DOI]

JOCN, 2019

Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case.

[BibT_eX]

[DOI]

CoRR, 2019

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM Symposium on SDN Research, 2019

Challenging the generalization capabilities of Graph Neural Networks for network modeling.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

Routing Based on Deep Reinforcement Learning in Optical Transport Networks.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements.

[BibT_eX]

[DOI]

Jordi Zayuelas i Muñoz

Proceedings of the 5th IEEE International Symposium on Measurements & Networking, 2019

Feature Engineering for Deep Reinforcement Learning Based Routing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

A first look into Alexa's interaction security.

[BibT_eX]

[DOI]

Xavier Marrugat-Plaza

Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

Towards more realistic network models based on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

2018

Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator.

[BibT_eX]

[DOI]

Yongquan Fu

Dongsheng Li

IEEE/ACM Trans. Netw., 2018

Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols.

[BibT_eX]

[DOI]

Jordi Paillisse

Alberto Rodríguez-Natal

CoRR, 2018

Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs.

[BibT_eX]

[DOI]

Comput. Networks, 2018

SBAR: SDN flow-Based monitoring and Application Recognition.

[BibT_eX]

[DOI]

Proceedings of the Symposium on SDN Research, 2018

ALLIANCE Project: Architecting a Knowledge-Defined 5G-Enabled Network Infrastructure.

[BibT_eX]

[DOI]

Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018

Towards accurate classification of HTTPS traffic in Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017

Performance of Direct-Oversampling Correlator-Type Receivers in Chaos-Based DS-CDMA Systems Over Frequency Non-selective Fading Channels.

[BibT_eX]

[DOI]

Nguyen Xuan Quyen

Wirel. Pers. Commun., 2017

A Survey on Web Tracking: Mechanisms, Implications, and Defenses.

[BibT_eX]

[DOI]

Beom-Ryeol Lee

Proc. IEEE, 2017

Reinventing NetFlow for OpenFlow Software-Defined Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Knowledge-Defined Networking.

[BibT_eX]

[DOI]

Comput. Commun. Rev., 2017

Towards a NetFlow Implementation for OpenFlow Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th International Teletraffic Congress, 2017

Towards accurate detection of obfuscated web tracking.

[BibT_eX]

[DOI]

Hoan Le

Federico Fallace

Proceedings of the IEEE International Workshop on Measurement and Networking, 2017

Detecting network performance anomalies with contextual anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Measurement and Networking, 2017

2016

A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic.

[BibT_eX]

[DOI]

Albert Bifet

Kensuke Fukuda

Telecommun. Syst., 2016

Special section on selected papers from TMA 2015.

[BibT_eX]

[DOI]

Moritz Steiner

Comput. Commun., 2016

Machine learning, data mining and Big Data frameworks for network monitoring and troubleshooting.

[BibT_eX]

[DOI]

Comput. Networks, 2016

Measuring Video QoE from Encrypted Traffic.

[BibT_eX]

[DOI]

Giorgos Dimopoulos

Ilias Leontiadis

Konstantina Papagiannaki

Proceedings of the 2016 ACM on Internet Measurement Conference, 2016

SUNSET: Sustainable network infrastructure enabling the future Digital Society.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Transparent Optical Networks, 2016

2015

An Autonomic Traffic Classification System for Network Operation and Management.

[BibT_eX]

[DOI]

Oriol Mula-Valls

J. Netw. Syst. Manag., 2015

Web Tracking: Mechanisms, Implications, and Defenses.

[BibT_eX]

[DOI]

CoRR, 2015

Independent comparison of popular DPI tools for traffic classification.

[BibT_eX]

[DOI]

Comput. Networks, 2015

Identifying the root cause of video streaming issues on mobile devices.

[BibT_eX]

[DOI]

Giorgos Dimopoulos

Ilias Leontiadis

Konstantina Papagiannaki

Peter Steenkiste

Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies, 2015

2014

Is Our Ground-Truth for Traffic Classification Reliable?

[BibT_eX]

[DOI]

Proceedings of the Passive and Active Measurement - 15th International Conference, 2014

2013

Scan Detection under Sampling: A New Perspective.

[BibT_eX]

[DOI]

Computer, 2013

FaRNet: Fast recognition of high-dimensional patterns from big network traffic data.

[BibT_eX]

[DOI]

Comput. Networks, 2013

FaRNet: fast recognition of high multi-dimensional network traffic patterns.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

Empirical analysis of traffic to establish a profiled flow termination timeout.

[BibT_eX]

[DOI]

Juan Molina Rodriguez

Ralf Hoffmann

Klaus Degner

Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

ITMgen - A first-principles approach to generating synthetic interdomain traffic matrices.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2013

Analysis of YouTube user experience from passive measurements.

[BibT_eX]

[DOI]

Giorgos Dimopoulos

Proceedings of the 9th International Conference on Network and Service Management, 2013

2012

Measurement Based Analysis of One-Click File Hosting Services.

[BibT_eX]

[DOI]

J. Netw. Syst. Manag., 2012

fHA: A flexible and distributed Home Agent architecture for Mobile-IP based networks.

[BibT_eX]

[DOI]

Dorin-Mircea Cioran

Jordi Domingo-Pascual

Virgil Dobrota

Inf. Sci., 2012

Operational experiences with anomaly detection in backbone networks.

[BibT_eX]

[DOI]

Comput. Secur., 2012

Towards a Statistical Characterization of the Interdomain Traffic Matrix.

[BibT_eX]

[DOI]

Proceedings of the NETWORKING 2012, 2012

Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Practical anomaly detection based on classifying frequent traffic patterns.

[BibT_eX]

[DOI]

Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

A lightweight algorithm for traffic filtering over sliding windows.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2012

2011

Predictive resource management of multiple monitoring applications.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2011

Analysis of the impact of sampling on NetFlow traffic classification.

[BibT_eX]

[DOI]

Comput. Networks, 2011

A Practical Approach to Portscan Detection in Very High-Speed Links.

[BibT_eX]

[DOI]

Proceedings of the Passive and Active Measurement - 12th International Conference, 2011

Sketching the delay: tracking temporally uncorrelated flow-level latencies.

[BibT_eX]

[DOI]

Proceedings of the 11th ACM SIGCOMM Internet Measurement Conference, 2011

2010

Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays.

[BibT_eX]

[DOI]

Proceedings of the Traffic Monitoring and Analysis, Second International Workshop, 2010

K-Dimensional Trees for Continuous Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the Traffic Monitoring and Analysis, Second International Workshop, 2010

Automating root-cause analysis of network anomalies using frequent itemset mining.

[BibT_eX]

[DOI]

Maurizio Molina

Daniela Brauckhoff

Proceedings of the ACM SIGCOMM 2010 Conference on Applications, 2010

2009

Robust network monitoring in the presence of non-cooperative traffic queries.

[BibT_eX]

[DOI]

Comput. Networks, 2009

Counting Flows over Sliding Windows in High Speed Networks.

[BibT_eX]

[DOI]

Proceedings of the NETWORKING 2009, 2009

Portscan Detection with Sampled NetFlow.

[BibT_eX]

[DOI]

Proceedings of the Traffic Monitoring and Analysis, First International Workshop, 2009

2008

Load shedding in network monitoring applications.

[BibT_eX]

[DOI]

PhD thesis, 2008

Distributed sampling for on-line SLA assessment.

[BibT_eX]

[DOI]

René Serral-Gracià

Jordi Domingo-Pascual

Proceedings of the 16th IEEE Workshop on Local and Metropolitan Area Networks, 2008

Distributed scheduling in large scale monitoring infrastructures.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Conference on Emerging Network Experiment and Technology, 2008

2007

Load Shedding in Network Monitoring Applications.

[BibT_eX]

[DOI]

Proceedings of the 2007 USENIX Annual Technical Conference, 2007

On-Line Predictive Load Shedding for Network Monitoring.

[BibT_eX]

[DOI]

Proceedings of the NETWORKING 2007. Ad Hoc and Sensor Networks, 2007

2003

Pricing and QoS.

[BibT_eX]

[DOI]

Burkhard Stiller