Pedro Casas

Orcid: 0000-0002-0951-2331

According to our database1, Pedro Casas authored at least 169 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale.
IEEE Trans. Netw. Serv. Manag., June, 2024

One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data.
IEEE Trans. Netw. Serv. Manag., April, 2024

Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis.
Proceedings of the 8th Network Traffic Measurement and Analysis Conference, 2024

HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring.
Proceedings of the 8th Network Traffic Measurement and Analysis Conference, 2024

More than Words is What you Need - Detecting DGA and Phishing Domains with Dom2Vec Word Embeddings.
Proceedings of the 8th Network Traffic Measurement and Analysis Conference, 2024

On the Quest for Foundation Generative-AI Models for Anomaly Detection in Time-Series Data.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

2023

Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders.
Proceedings of the 7th Network Traffic Measurement and Analysis Conference, 2023

Not all DGAs are Born the Same - Improving Lexicographic based Detection of DGA Domains through AI/ML.
Proceedings of the 7th Network Traffic Measurement and Analysis Conference, 2023

Phish Me If You Can - Lexicographic Analysis and Machine Learning for Phishing Websites Detection with PHISHWEB.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Fake it till you Detect it: Continual Anomaly Detection in Multivariate Time-Series using Generative AI.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Dom2Vec - Detecting DGA Domains Through Word Embeddings and AI/ML-Driven Lexicographic Analysis.
Proceedings of the 19th International Conference on Network and Service Management, 2023

2022
Smart Active Sampling to enhance Quality Assurance Efficiency.
CoRR, 2022

X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning.
Proceedings of the 6th Network Traffic Measurement and Analysis Conference, 2022

DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming.
Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022

Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks.
Proceedings of the IEEE Latin-American Conference on Communications, 2022

Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference.
Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders.
Proceedings of the 22nd ACM Internet Measurement Conference, 2022

<i>PHISHWEB</i>: a progressive, multi-layered system for phishing websites detection.
Proceedings of the 22nd ACM Internet Measurement Conference, 2022

DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders.
Proceedings of the IEEE European Symposium on Security and Privacy, 2022

GROWS: improving decentralized resource allocation in wireless networks through graph neural networks.
Proceedings of the 1st International Workshop on Graph Neural Networking, 2022

Fingerprinting Web Pages and Smartphone Apps from Encrypted Network Traffic with WebScanner.
Proceedings of the 11th IEEE International Conference on Cloud Networking, 2022

2021
Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis.
IEEE Trans. Netw. Serv. Manag., 2021

Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling.
SIGMETRICS Perform. Evaluation Rev., 2021

On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series.
SIGMETRICS Perform. Evaluation Rev., 2021

Content Matters: Clustering Web Pages for QoE Analysis With WebCLUST.
IEEE Access, 2021

Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning.
Proceedings of the 13th IFIP Wireless and Mobile Networking Conference, 2021

Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

How are your Apps Doing? QoE Inference and Analysis in Mobile Devices.
Proceedings of the 17th International Conference on Network and Service Management, 2021

Where is the Light(ning) in the Taproot Dawn? Unveiling the Bitcoin Lightning (IP) Network.
Proceedings of the 10th IEEE International Conference on Cloud Networking, CloudNet 2021, 2021

2020
ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic.
IEEE Trans. Netw. Serv. Manag., 2020

White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges.
CoRR, 2020

DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification.
CoRR, 2020

How good is your mobile (web) surfing?: speed index inference from encrypted traffic.
Proceedings of the SIGCOMM '20: ACM SIGCOMM 2020 Conference, 2020

RAL: reinforcement active learning for network traffic monitoring and analysis.
Proceedings of the SIGCOMM '20: ACM SIGCOMM 2020 Conference, 2020

Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series.
Proceedings of the SIGCOMM '20: ACM SIGCOMM 2020 Conference, 2020

All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network.
Proceedings of the NOMS 2020, 2020

Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions.
Proceedings of the NOMS 2020, 2020

HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation.
Proceedings of the 11th International Conference on Network of the Future, 2020

Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2020

Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2020

Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic.
Proceedings of the 16th International Conference on Network and Service Management, 2020

Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild.
Proceedings of the 16th International Conference on Network and Service Management, 2020

2019
A Fair Share for All: TCP-Inspired Adaptation Logic for QoE Fairness Among Heterogeneous HTTP Adaptive Video Streaming Clients.
IEEE Trans. Netw. Serv. Manag., 2019

A Survey on Big Data for Network Traffic Monitoring and Analysis.
IEEE Trans. Netw. Serv. Manag., 2019

Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management.
IEEE Commun. Lett., 2019

Online Detection of Stalling and Scrubbing in Adaptive Video Streaming.
Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2019

Deep in the Dark - Deep Learning-Based Malware Traffic Detection Without Expert Knowledge.
Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019

MLSEC - Benchmarking Shallow and Deep Machine Learning Models for Network Security.
Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019

Is QUIC becoming the New TCP? On the Potential Impact of a New Protocol on Networked Multimedia QoE.
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019

On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements.
Proceedings of the 12th IFIP Wireless and Mobile Networking Conference, 2019

I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic.
Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks, 2019

Internet-QoE 2019: 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming.
Proceedings of the IEEE INFOCOM 2019, 2019

QUICker or not? -an Empirical Analysis of QUIC vs TCP for Video Streaming QoE Provisioning.
Proceedings of the 22nd Conference on Innovation in Clouds, 2019

Stream-based Machine Learning for Real-time QoE Analysis of Encrypted Video Streaming Traffic.
Proceedings of the 22nd Conference on Innovation in Clouds, 2019

EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis.
Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, 2019

ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring.
Proceedings of the 15th International Conference on Network and Service Management, 2019

Continuous and Adaptive Learning over Big Streaming Data for Network Security.
Proceedings of the 2019 IEEE 8th International Conference on Cloud Networking, 2019

Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks.
Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019

2018
Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones.
SIGMETRICS Perform. Evaluation Rev., 2018

DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations.
SIGMETRICS Perform. Evaluation Rev., 2018

Machine learning models for wireless network monitoring and analysis.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference Workshops, 2018

Anycaston the Move: A Look at Mobile Anycast Performance.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

Distributed Internet Paths Performance Analysis Through Machine Learning.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

You Tube QoE Monitoring with YoMoApp: A Web-Based Data Interface for Researchers.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

App for Dynamic Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

On the Analysis of Network Measurements Through Machine Learning: The Power of the Crowd.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

BIGMOMAL: Big Data Analytics for Mobile Malware Detection.
Proceedings of the 2018 Workshop on Traffic Measurements for Cybersecurity, 2018

Adaptive Network Security through Stream Machine Learning.
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 2018

Stream-based Machine Learning for Network Security and Anomaly Detection.
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

RawPower: Deep Learning based Anomaly Detection from Raw Network Traffic Measurements.
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 2018

Streaming Characteristics of Spotify Sessions.
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018

Studying the Impact of HAS QoE Factors on the Standardized QoE Model P.1203.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Enhancing Machine Learning Based QoE Prediction by Ensemble Models.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

MLNET - Machine Learning Models for Network Analytics.
Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

Beauty is in the Eye of the Smartphone Holder A Data Driven Analysis of YouTube Mobile QoE.
Proceedings of the 14th International Conference on Network and Service Management, 2018

A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming.
Proceedings of the 14th International Conference on Network and Service Management, 2018

Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering.
Proceedings of the 7th IEEE International Conference on Cloud Networking, 2018

Evaluating music mastering quality using machine learning.
Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

2017
Super learning for anomaly detection in cellular networks.
Proceedings of the 13th IEEE International Conference on Wireless and Mobile Computing, 2017

Concept and implementation of video QoE measurements in a mobile broadband testbed.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2017

NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning.
Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2017

Ensemble-learning Approaches for Network Security and Anomaly Detection.
Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2017

Unsupervised QoE field study for mobile YouTube video streaming with YoMoApp.
Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017

Predicting QoE in cellular networks using machine learning and in-smartphone measurements.
Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017

Improving QoE prediction in mobile video through machine learning.
Proceedings of the 8th International Conference on the Network of the Future, 2017

GML learning, a generic machine learning model for network measurements analysis.
Proceedings of the 13th International Conference on Network and Service Management, 2017

Network security and anomaly detection with Big-DAMA, a big data analytics framework.
Proceedings of the 6th IEEE International Conference on Cloud Networking, 2017

2016
Grasping Popular Applications in Cellular Networks With Big Data Analytics Platforms.
IEEE Trans. Netw. Serv. Manag., 2016

Next to You: Monitoring Quality of Experience in Cellular Networks From the End-Devices.
IEEE Trans. Netw. Serv. Manag., 2016

Modeling the YouTube stack: From packets to quality of experience.
Comput. Networks, 2016

DBStream: A holistic approach to large-scale network traffic monitoring and analysis.
Comput. Networks, 2016

Unveiling network and service performance degradation in the wild with mplane.
IEEE Commun. Mag., 2016

Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks.
Proceedings of the Traffic Monitoring and Analysis - 8th International Workshop, 2016

WhatsApp Calling: a Revised Analysis on WhatsApp's Architecture and Calling Service.
Proceedings of the 2016 workshop on Fostering Latin-American Research in Data Communication Networks, 2016

Looking for Network Latency Clusters in the LAC Region.
Proceedings of the 2016 workshop on Fostering Latin-American Research in Data Communication Networks, 2016

An Educated Guess on QoE in Operational Networks through Large-Scale Measurements.
Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks, 2016

Big-DAMA: Big Data Analytics for Network Traffic Monitoring and Analysis.
Proceedings of the 2016 workshop on Fostering Latin-American Research in Data Communication Networks, 2016

When smartphones become the enemy: unveiling mobile apps anomalies through clustering techniques.
Proceedings of the 6th Workshop on All Things Cellular, 2016

On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer.
Proceedings of the 41st IEEE Conference on Local Computer Networks Workshops, 2016

Detecting and diagnosing anomalies in cellular networks using Random Neural Networks.
Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016

The Beauty of Consistency in Radio-Scheduling Decisions.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

POSTER: (Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection.
Int. J. Netw. Manag., 2015

Vivisecting WhatsApp in Cellular Networks: Servers, Flows, and Quality of Experience.
Proceedings of the Traffic Monitoring and Analysis - 7th International Workshop, 2015

RCATool - A Framework for Detecting and Diagnosing Anomalies in Cellular Networks.
Proceedings of the 27th International Teletraffic Congress, 2015

Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks.
Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

Exploring QoE in Cellular Networks: How Much Bandwidth do you Need for Popular Smartphone Apps?
Proceedings of the 5th Workshop on All Things Cellular: Operations, 2015

Quantifying the impact of network bandwidth fluctuations and outages on Web QoE.
Proceedings of the Seventh International Workshop on Quality of Multimedia Experience, 2015

Online Social Networks anatomy: On the analysis of Facebook and WhatsApp in cellular networks.
Proceedings of the 14th IFIP Networking Conference, 2015

Poster: Understanding YouTube QoE in Cellular Networks with YoMoApp: A QoE Monitoring Tool for YouTube Mobile.
Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, 2015

Demo: On the Monitoring of YouTube QoE in Cellular Networks from End-devices.
Proceedings of the 2015 Workshop on Wireless of the Students, 2015

YouTube QoE on mobile devices: Subjective analysis of classical vs. adaptive video streaming.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

Towards automatic detection and diagnosis of Internet service anomalies via DNS traffic analysis.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

On the analysis of QoE in cellular networks: From subjective tests to large-scale traffic measurements.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

Cache-oblivious scheduling of shared workloads.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

On the quest for new KPIs in mobile networks: The impact of throughput fluctuations on QoE.
Proceedings of the IEEE International Conference on Communication, 2015

MTRAC - discovering M2M devices in cellular networks from coarse-grained measurements.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks.
Proceedings of the 2015 European Conference on Networks and Communications, 2015

QoMOSN - On the analysis of traffic and Quality of Experience in Mobile Online Social Networks.
Proceedings of the 2015 European Conference on Networks and Communications, 2015

Taming QoE in cellular networks: From subjective lab studies to measurements in the field.
Proceedings of the 11th International Conference on Network and Service Management, 2015

2014
When YouTube Does not Work - Analysis of QoE-Relevant Degradation in Google CDN Traffic.
IEEE Trans. Netw. Serv. Manag., 2014

Quality of Experience in Cloud services: Survey and measurements.
Comput. Networks, 2014

mPlane: an intelligent measurement plane for the internet.
IEEE Commun. Mag., 2014

YouTube in the move: Understanding the performance of YouTube in cellular networks.
Proceedings of the 2014 IFIP Wireless Days, 2014

On the detection of network traffic anomalies in content delivery network services.
Proceedings of the 2014 26th International Teletraffic Congress (ITC), 2014

Vivisecting whatsapp through large-scale measurements in mobile networks.
Proceedings of the ACM SIGCOMM 2014 Conference, 2014

Understanding HTTP Traffic and CDN Behavior from the Eyes of a Mobile ISP.
Proceedings of the Passive and Active Measurement - 15th International Conference, 2014

Characterizing web services provisioning via CDNs: The case of Facebook.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

Who to blame when YouTube is not working? detecting anomalies in CDN-provisioned services.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

Coping with 0-day attacks through Unsupervised Network Intrusion Detection.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

DBStream: An online aggregation, filtering and processing system for network traffic monitoring.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points.
Proceedings of the European Conference on Networks and Communications, 2014

Diagnosing Device-Specific Anomalies in Cellular Networks.
Proceedings of the 2014 CoNEXT on Student Workshop, 2014

On the analysis of QoE-based performance degradation in YouTube traffic.
Proceedings of the 10th International Conference on Network and Service Management, 2014

Characterizing Microsoft Lync Online in mobile networks: a Quality of Experience perspective.
Proceedings of the 3rd IEEE International Conference on Cloud Networking, 2014

Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
YOUQMON: a system for on-line monitoring of YouTube QoE in operational 3G networks.
SIGMETRICS Perform. Evaluation Rev., 2013

Monitoring YouTube QoE: Is Your Mobile Network Delivering the Right Experience to your Customers?
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

IP mining: Extracting knowledge from the dynamics of the Internet addressing space.
Proceedings of the 25th International Teletraffic Congress, 2013

Mini-IPC: A minimalist approach for HTTP traffic classification using IP addresses.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

Quality of experience in remote virtual desktop services.
Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

A first look at quality of experience in Personal Cloud Storage services.
Proceedings of the IEEE International Conference on Communications, 2013

2012
Knowledge-independent traffic monitoring: Unsupervised detection of network attacks.
IEEE Netw., 2012

Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge.
Comput. Commun., 2012

Taming traffic dynamics: Analysis and improvements.
Comput. Commun., 2012

Passive YouTube QoE Monitoring for ISPs.
Proceedings of the Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012

YouTube & Facebook Quality of Experience in mobile broadband networks.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2012

2011
Reactive Robust Routing: Anomaly Localization and Routing Reconfiguration for Dynamic Networks.
J. Netw. Syst. Manag., 2011

Sub-Space Clustering and Evidence Accumulation for Unsupervised Network Anomaly Detection.
Proceedings of the Traffic Monitoring and Analysis - Third International Workshop, 2011

MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification.
Proceedings of the 23rd International Teletraffic Congress, 2011

Steps Towards Autonomous Network Security: Unsupervised Detection of Network Attacks.
Proceedings of the 4th IFIP International Conference on New Technologies, 2011

UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking.
Proceedings of the NETWORKING 2011, 2011

On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Sub-Space clustering, Inter-Clustering Results Association & anomaly correlation for unsupervised network anomaly detection.
Proceedings of the 7th International Conference on Network and Service Management, 2011

2010
End-to-end quality of service-based admission control using the fictitious network analysis.
Comput. Commun., 2010

Optimal volume anomaly detection and isolation in large-scale IP networks using coarse-grained measurements.
Comput. Networks, 2010

On the use of random neural networks for traffic matrix estimation in large-scale IP networks.
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010

2009
Efficient methods for traffic matrix modeling and on-line estimation in large-scale IP networks.
Proceedings of the 21st International Teletraffic Congress, 2009

Robust Routing Mechanisms for Intradomain Traffic Engineering in Dynamic Networks.
Proceedings of the 2009 Latin American Network Operations and Management Symposium, 2009

Robust routing vs dynamic load-balancing a comprehensive study and new directions.
Proceedings of the 7th International Workshop on Design of Reliable Communication Networks, 2009

2008
Multi Hour Robust Routing and Fast Load Change Detection for Traffic Engineering.
Proceedings of IEEE International Conference on Communications, 2008

Volume Anomaly Detection in Data Networks: An Optimal Detection Algorithm vs. the PCA Approach.
Proceedings of the Traffic Management and Traffic Engineering for the Future Internet, 2008

Optimal volume anomaly detection in network traffic flows.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
A user perspective for end-to-end quality of service evaluation in multimedia networks.
Proceedings of the 4th International IFIP/ACM Latin American Networking Conference, 2007


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