Pedro Casas
Orcid: 0000-0002-0951-2331
According to our database1,
Pedro Casas
authored at least 162 papers
between 2007 and 2023.
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Bibliography
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
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
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
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
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021
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
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
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
Proceedings of the NOMS 2020, 2020
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
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
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
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
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
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
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
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
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference Workshops, 2018
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018
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
Proceedings of the 2018 Workshop on Traffic Measurements for Cybersecurity, 2018
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 2018
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
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
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
Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018
2017
Proceedings of the 13th IEEE International Conference on Wireless and Mobile Computing, 2017
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
Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2017
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
Proceedings of the 8th International Conference on the Network of the Future, 2017
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
Comput. Networks, 2016
DBStream: A holistic approach to large-scale network traffic monitoring and analysis.
Comput. Networks, 2016
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
Proceedings of the 2016 workshop on Fostering Latin-American Research in Data Communication Networks, 2016
Proceedings of the 2016 workshop on Fostering Latin-American Research in Data Communication Networks, 2016
Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks, 2016
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
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
Proceedings of the 27th International Teletraffic Congress, 2015
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
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
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
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
Comput. Networks, 2014
Proceedings of the 2014 IFIP Wireless Days, 2014
Proceedings of the 2014 26th International Teletraffic Congress (ITC), 2014
Proceedings of the ACM SIGCOMM 2014 Conference, 2014
Proceedings of the Passive and Active Measurement - 15th International Conference, 2014
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
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
Proceedings of the 2014 CoNEXT on Student Workshop, 2014
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
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
Proceedings of the 25th International Teletraffic Congress, 2013
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013
Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013
Proceedings of the IEEE International Conference on Communications, 2013
2012
IEEE Netw., 2012
Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge.
Comput. Commun., 2012
Proceedings of the Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012
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
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
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
Proceedings of the 2009 Latin American Network Operations and Management Symposium, 2009
Proceedings of the 7th International Workshop on Design of Reliable Communication Networks, 2009
2008
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
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