Daniel Perdices

According to our database, Daniel Perdices authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Internet usage and performance in GEO satellite networks: A large-scale study across Europe and Africa.

Gabriele Merlach, Daniel Perdices, Gianluca Perna, Martino Trevisan, Danilo Giordano, Marco Mellia

Comput. Networks, 2026

2025

An expert-aware Markovian system for end-user proactive troubleshooting in the Network and Security Operations Center.

Alejandro León, Daniel Perdices, José Luis García-Dorado, Javier Ramos, Javier Aracil

Expert Syst. Appl., 2025

GPT on the wire: Towards realistic network traffic conversations generated with large language models.

Javier Aday Delgado-Soto, Jorge E. López de Vergara, Iván González, Daniel Perdices, Luis de Pedro

Comput. Networks, 2025

2024

Smart modeling techniques for network and service management.

Daniel Perdices

PhD thesis, 2024

Identification of HTTP Traffic Injection for Free-Riding in Zero-Rating Data Plans.

Carlos Gómez Chico, Luis de Pedro, Daniel Perdices, Jorge E. López de Vergara

Proceedings of the 8th Network Traffic Measurement and Analysis Conference, 2024

Monitoring Web QoE in Satellite Networks from Passive Measurements.

Gianluca Perna, Martino Trevisan, Danilo Giordano, Daniel Perdices, Marco Mellia

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023

Web browsing privacy in the deep learning era: Beyond VPNs and encryption.

Daniel Perdices, Jorge E. López de Vergara, Iván González, Luis de Pedro

Comput. Networks, 2023

Analysis of Top Internet Websites Load Times.

Samuel M. Garcia Murça, Daniel Perdices, Jorge E. López de Vergara

Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

2022

When satellite is all you have: watching the internet from 550 ms.

Daniel Perdices, Gianluca Perna, Martino Trevisan, Danilo Giordano, Marco Mellia

Proceedings of the 22nd ACM Internet Measurement Conference, 2022

2021

Deep-FDA: Using Functional Data Analysis and Neural Networks to Characterize Network Services Time Series.

Daniel Perdices, Jorge E. López de Vergara, Javier Ramos

IEEE Trans. Netw. Serv. Manag., 2021

Natural language processing for web browsing analytics: Challenges, lessons learned, and opportunities.

Daniel Perdices, Javier Ramos, José Luis García-Dorado, Iván González, Jorge E. López de Vergara

Comput. Networks, 2021

Towards the Automatic and Schedule-Aware Alerting of Internetwork Time Series.

Daniel Perdices, José Luis García-Dorado, Javier Ramos, Rodrigo De Pool, Javier Aracil

IEEE Access, 2021

Assessing the Limits of Privacy and Data Usage for Web Browsing Analytics.

Daniel Perdices, Jorge E. López de Vergara, Iván González

Proceedings of the 17th International Conference on Network and Service Management, 2021

2019

On the Modeling of Multi-Point RTT Passive Measurements for Network Delay Monitoring.

Daniel Perdices, David Muelas, Iria Prieto, Luis de Pedro, Jorge E. López de Vergara

IEEE Trans. Netw. Serv. Manag., 2019

2018

Network Performance Monitoring with Flexible Models of Multi-Point Passive Measurements.

Daniel Perdices, David Muelas, Luis de Pedro, Jorge E. López de Vergara

Proceedings of the 14th International Conference on Network and Service Management, 2018

2017

FlexiTop: a flexible and scalable network monitoring system for Over-The-Top services.

Daniel Perdices, Jorge E. López de Vergara, Paula Roquero, Carlos Vega, Javier Aracil

Netw. Protoc. Algorithms, 2017