Pedro Casas

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 110

Top Venues

TMA

CNSM

IEEE Trans. Netw. Serv. Manag.

IWCMC

Publications

Michael Seufert, Katharina Dietz, Nikolas Wehner, Stefan Geißler, Joshua Schüler, Manuel Wolz, Andreas Hotho, Pedro Casas, Tobias Hoßfeld, Anja Feldmann
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. IEEE Trans. Netw. Serv. Manag. 21 (3) (2024)
B. Brandino, E. Grampin, Katharina Dietz, Nikolas Wehner, Michael Seufert, Tobias Hoßfeld, Pedro Casas
HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring. TMA (2024)
Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Mislav Findrik
More than Words is What you Need - Detecting DGA and Phishing Domains with Dom2Vec Word Embeddings. TMA (2024)
Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández
Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis. TMA (2024)
Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez Sena, José Acuña, Pedro Casas
One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data. IEEE Trans. Netw. Serv. Manag. 21 (2) (2024)
Clemens Heistracher, Pedro Casas, Stefan Stricker, Axel Weißenfeld, Daniel Schall, Jana Kemnitz
Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling. IECON (2023)
Gastón García González, Pedro Casas, Alicia Fernández
Fake it till you Detect it: Continual Anomaly Detection in Multivariate Time-Series using Generative AI. EuroS&P Workshops (2023)
Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, M. Findrik
Not all DGAs are Born the Same - Improving Lexicographic based Detection of DGA Domains through AI/ML. TMA (2023)
Gastón García González, Pedro Casas, Alicia Fernández
Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders. TMA (2023)
Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, M. Findrik
Phish Me If You Can - Lexicographic Analysis and Machine Learning for Phishing Websites Detection with PHISHWEB. NetSoft (2023)
Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, M. Findrik
Dom2Vec - Detecting DGA Domains Through Word Embeddings and AI/ML-Driven Lexicographic Analysis. CNSM (2023)
Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas
GROWS: improving decentralized resource allocation in wireless networks through graph neural networks. GNNet@CoNEXT (2022)
Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez, José Acuña, Pedro Casas
DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. EuroS&P Workshops (2022)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders. IMC (2022)
Pedro Casas, Sarah Wassermann, Michael Seufert, Nikolas Wehner, Olivia Dinica, Tobias Hossfeld
X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning. TMA (2022)
Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas
Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks. LATINCOM (2022)
Pedro Casas, Michael Seufert, Sarah Wassermann, Bruno Gardlo, Nikolas Wehner, Raimund Schatz
DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming. NetSoft (2022)
Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz
Smart Active Sampling to enhance Quality Assurance Efficiency. CoRR (2022)
Pedro Casas, Nikolas Wehner, Sarah Wassermann, Michael Seufert
Fingerprinting Web Pages and Smartphone Apps from Encrypted Network Traffic with WebScanner. CloudNet (2022)
Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, Tobias Hossfeld
Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference. M&N (2022)
Lucas Torrealba Aravena, Javier Bustos-Jiménez, Pedro Casas
: a progressive, multi-layered system for phishing websites detection. IMC (2022)
Nikolas Wehner, Michael Seufert, Joshua Schüler, Pedro Casas, Tobias Hoßfeld
How are your Apps Doing? QoE Inference and Analysis in Mobile Devices. CNSM (2021)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. SIGMETRICS Perform. Evaluation Rev. 48 (4) (2021)
Nikolas Wehner, Michael Seufert, Joshua Schuler, Sarah Wassermann, Pedro Casas, Tobias Hossfeld
Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. SIGMETRICS Perform. Evaluation Rev. 48 (4) (2021)
Luis Roberto Jiménez, Marta Solera Delgado, Matías Toril, Carolina Gijón, Pedro Casas
Content Matters: Clustering Web Pages for QoE Analysis With WebCLUST. IEEE Access 9 (2021)
Pedro Casas, Matteo Romiti, Peter Holzer, Sami Ben Mariem, Benoit Donnet, Bernhard Haslhofer
Where is the Light(ning) in the Taproot Dawn? Unveiling the Bitcoin Lightning (IP) Network. CloudNet (2021)
Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, Joshua Schüler, Tobias Hossfeld
Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning. WMNC (2021)
Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Nikolas Wehner, Michael Seufert, Viktoria Wieser, Pedro Casas, Germán Capdehourat
Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks. IM (2021)
Andrea Morichetta, Pedro Casas, Marco Mellia
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. CoRR (2020)
Sarah Wassermann, Thibaut Cuvelier, Pedro Casas
RAL: reinforcement active learning for network traffic monitoring and analysis. SIGCOMM Posters and Demos (2020)
Gonzalo Marín, Pedro Casas, Germán Capdehourat
DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. CoRR (2020)
Pavol Mulinka, Pedro Casas, Kensuke Fukuda, Lukas Kencl
HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation. NOF (2020)
Sami Ben Mariem, Pedro Casas, Matteo Romiti, Benoit Donnet, Rainer Stütz, Bernhard Haslhofer
All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network. CoRR (2020)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series. SIGCOMM Posters and Demos (2020)
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
A Survey on Big Data for Network Traffic Monitoring and Analysis. CoRR (2020)
Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Michael Seufert, Nikolas Wehner, Viktoria Wieser, Pedro Casas, Germán Capdehourat
Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild. CNSM (2020)
Tobias Hoßfeld, Stefan Wunderer, André Beyer, Andrew Hall, Anika Schwind, Christian Gassner, Fabrice Guillemin, Florian Wamser, Krzysztof Wascinski, Matthias Hirth, Michael Seufert, Pedro Casas, Phuoc Tran-Gia, Werner Robitza, Wojciech Wascinski, Zied Ben-Houidi
White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges. CoRR (2020)
Pavol Mulinka, Kensuke Fukuda, Pedro Casas, Lukas Kencl
WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks. EuroS&P Workshops (2020)
Pedro Casas
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions. CoRR (2020)
Pedro Casas
Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions. NOMS (2020)
Sarah Wassermann, Pedro Casas, Michael Seufert, Nikolas Wehner, Joshua Schüler, Tobias Hossfeld
How good is your mobile (web) surfing?: speed index inference from encrypted traffic. SIGCOMM Posters and Demos (2020)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. CoRR (2020)
Nikolas Wehner, Michael Seufert, Sebastian Egger-Lampl, Bruno Gardlo, Pedro Casas, Raimund Schatz
Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. ACM Multimedia (2020)
Sami Ben Mariem, Pedro Casas, Matteo Romiti, Benoit Donnet, Rainer Stütz, Bernhard Haslhofer
All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network. NOMS (2020)
Sarah Wassermann, Pedro Casas, Zied Ben-Houidi, Alexis Huet, Michael Seufert, Nikolas Wehner, Joshua Schüler, Shengming Cai, Hao Shi, Jinchun Xu, Tobias Hoßfeld, Dario Rossi
Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. CNSM (2020)
Maciej Korczynski, Wojciech Mazurczyk, Pedro Casas
Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity. EuroS&P Workshops (2020)
Michael Seufert, Pedro Casas, Nikolas Wehner, Li Gang, Kuang Li
Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming. INFOCOM Workshops (2019)
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
A Survey on Big Data for Network Traffic Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Michael Seufert, Nikolas Wehner, Pedro Casas
A Fair Share for All: TCP-Inspired Adaptation Logic for QoE Fairness Among Heterogeneous HTTP Adaptive Video Streaming Clients. IEEE Trans. Netw. Serv. Manag. 16 (2) (2019)
Andrea Morichetta, Pedro Casas, Marco Mellia
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT (2019)
Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic. Internet-QoE@MOBICOM (2019)
Gonzalo Marín, Pedro Casas, Germán Capdehourat
Deep in the Dark - Deep Learning-Based Malware Traffic Detection Without Expert Knowledge. IEEE Symposium on Security and Privacy Workshops (2019)
Pedro Casas, Florian Wamser, Fabián E. Bustamante, David R. Choffnes
Internet-QoE 2019: 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks. MobiCom (2019)
Michael Seufert, Raimund Schatz, Nikolas Wehner, Pedro Casas
QUICker or not? -an Empirical Analysis of QUIC vs TCP for Video Streaming QoE Provisioning. ICIN (2019)
Lorenzo Maggi, Jérémie Leguay, Michael Seufert, Pedro Casas
Online Detection of Stalling and Scrubbing in Adaptive Video Streaming. WiOpt (2019)
Michael Seufert, Sarah Wassermann, Pedro Casas
Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management. IEEE Commun. Lett. 23 (7) (2019)
Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. CNSM (2019)
Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming. TMA (2019)
Michael Seufert, Raimund Schatz, Nikolas Wehner, Bruno Gardlo, Pedro Casas
Is QUIC becoming the New TCP? On the Potential Impact of a New Protocol on Networked Multimedia QoE. QoMEX (2019)
Pavol Mulinka, Pedro Casas, Juan Martin Vanerio
Continuous and Adaptive Learning over Big Streaming Data for Network Security. CloudNet (2019)
Sarah Wassermann, Pedro Casas, Michael Seufert, Florian Wamser
On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements. WMNC (2019)
Michael Seufert, Pedro Casas, Nikolas Wehner, Li Gang, Kuang Li
Stream-based Machine Learning for Real-time QoE Analysis of Encrypted Video Streaming Traffic. ICIN (2019)
Pedro Casas, Gonzalo Marín, Germán Capdehourat, Maciej Korczynski
MLSEC - Benchmarking Shallow and Deep Machine Learning Models for Network Security. IEEE Symposium on Security and Privacy Workshops (2019)
Pedro Casas, Pavol Mulinka, Juan Martin Vanerio
Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks. MTD@CCS (2019)
Sarah Wassermann, John P. Rula, Fabian E. Bustamante, Pedro Casas
Anycaston the Move: A Look at Mobile Anycast Performance. TMA (2018)
Florian Wamser, Nikolas Wehner, Michael Seufert, Pedro Casas, Phuoc Tran-Gia
You Tube QoE Monitoring with YoMoApp: A Web-Based Data Interface for Researchers. TMA (2018)
Michael Seufert, Nikolas Wehner, Pedro Casas, Florian Wamser
A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming. CNSM (2018)
Sarah Wassermann, Pedro Casas
Distributed Internet Paths Performance Analysis Through Machine Learning. TMA (2018)
Pedro Casas
On the Analysis of Network Measurements Through Machine Learning: The Power of the Crowd. TMA (2018)
Pavol Mulinka, Pedro Casas
Adaptive Network Security through Stream Machine Learning. SIGCOMM Posters and Demos (2018)
Pedro Casas, Michael Seufert, Nikolas Wehner, Anika Schwind, Florian Wamser
Enhancing Machine Learning Based QoE Prediction by Ensemble Models. ICDCS (2018)
Sarah Wassermann, Pedro Casas
BIGMOMAL: Big Data Analytics for Mobile Malware Detection. WTMC@SIGCOMM (2018)
Gonzalo Marín, Pedro Casas, Germán Capdehourat
DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Nikolas Wehner, Sarah Wassermann, Pedro Casas, Michael Seufert, Florian Wamser
Beauty is in the Eye of the Smartphone Holder A Data Driven Analysis of YouTube Mobile QoE. CNSM (2018)
Mark Shtern, Pedro Casas, Vassilios Tzerpos
Evaluating music mastering quality using machine learning. CASCON (2018)
Pedro Casas
MLNET - Machine Learning Models for Network Analytics. EDBT/ICDT Workshops (2018)
Michael Seufert, Nikolas Wehner, Pedro Casas
App for Dynamic Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices. TMA (2018)
Sarah Wassermann, Nikolas Wehner, Pedro Casas
Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Pavol Mulinka, Pedro Casas
Stream-based Machine Learning for Network Security and Anomaly Detection. Big-DAMA@SIGCOMM (2018)
Michael Seufert, Nikolas Wehner, Pedro Casas
Studying the Impact of HAS QoE Factors on the Standardized QoE Model P.1203. ICDCS (2018)
Pavol Mulinka, Pedro Casas, Lukas Kencl
Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering. CloudNet (2018)
Gonzalo Marín, Pedro Casas, Germán Capdehourat
RawPower: Deep Learning based Anomaly Detection from Raw Network Traffic Measurements. SIGCOMM Posters and Demos (2018)
Anika Schwind, Florian Wamser, Thomas Gensler, Phuoc Tran-Gia, Michael Seufert, Pedro Casas
Streaming Characteristics of Spotify Sessions. QoMEX (2018)
Pedro Casas
Machine learning models for wireless network monitoring and analysis. WCNC Workshops (2018)
Pedro Casas, Juan Martin Vanerio
Super learning for anomaly detection in cellular networks. WiMob (2017)
Juan Martin Vanerio, Pedro Casas
Ensemble-learning Approaches for Network Security and Anomaly Detection. Big-DAMA@SIGCOMM (2017)
Pedro Casas, Juan Martin Vanerio, Kensuke Fukuda
GML learning, a generic machine learning model for network measurements analysis. CNSM (2017)
Pedro Casas, Sarah Wassermann
Improving QoE prediction in mobile video through machine learning. NOF (2017)
Pedro Casas, Francesca Soro, Juan Martin Vanerio, Giuseppe Settanni, Alessandro D'Alconzo
Network security and anomaly detection with Big-DAMA, a big data analytics framework. CloudNet (2017)
Michael Seufert, Nikolas Wehner, Florian Wamser, Pedro Casas, Alessandro D'Alconzo, Phuoc Tran-Gia
Unsupervised QoE field study for mobile YouTube video streaming with YoMoApp. QoMEX (2017)
Sarah Wassermann, Pedro Casas, Thibaut Cuvelier, Benoit Donnet
NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. Big-DAMA@SIGCOMM (2017)
Pedro Casas, Alessandro D'Alconzo, Florian Wamser, Michael Seufert, Bruno Gardlo, Anika Schwind, Phuoc Tran-Gia, Raimund Schatz
Predicting QoE in cellular networks using machine learning and in-smartphone measurements. QoMEX (2017)
Anika Schwind, Michael Seufert, Ozgu Alay, Pedro Casas, Phuoc Tran-Gia, Florian Wamser
Concept and implementation of video QoE measurements in a mobile broadband testbed. TMA (2017)
Pedro Casas, Bruno Gardlo, Raimund Schatz, Marco Mellia
An Educated Guess on QoE in Operational Networks through Large-Scale Measurements. Internet-QoE@SIGCOMM (2016)
Pedro Casas, Pierdomenico Fiadino, Alessandro D'Alconzo
When smartphones become the enemy: unveiling mobile apps anomalies through clustering techniques. ATC@MobiCom (2016)
Eirini Liotou, Raimund Schatz, Andreas Sackl, Pedro Casas, Dimitris Tsolkas, Nikos I. Passas, Lazaros F. Merakos
The Beauty of Consistency in Radio-Scheduling Decisions. GLOBECOM Workshops (2016)
Pedro Casas, Alessandro D'Alconzo, Giuseppe Settanni, Pierdomenico Fiadino, Florian Skopik
POSTER: (Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data. CCS (2016)
Pedro Casas, Pierdomenico Fiadino, Alessandro D'Alconzo
Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks. TMA (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pedro Casas