CV

Data Scientist building production recommender systems at Roche, where I own personalisation for global Diagnostics sales teams. PhD Cum Laude (University of Murcia, armasuisse S&T collaboration) on ML-based detection of compromised and spoofed devices, including adversarial attacks and defences against detection models. I followed as a postdoc on distributed and trustworthy AI, spanning Federated Learning, security, and model explainability. National Young Researcher Award in Computer Science, 2024.

Work experience

• Sept 2025 – Now: Data Scientist, Roche (Madrid, Spain)
  • Designed and deployed an AI recommender system for global Roche Diagnostics sales teams, directly supporting new sales opportunities and revenue growth
  • Built the full modelling loop in production: candidate generation, ranking, feature pipelines over customer, product and sales data, plus versioning, monitoring and scheduled retraining
• Nov 2024 – Sept 2025: Senior Researcher, Funditec (Advantx Technology Foundation, Madrid, Spain)
  • Led ML/DL and cybersecurity research across European and National projects, contributing to proposal writing and technical execution from grant acquisition through delivery
• Feb 2024 – Nov 2024: Postdoctoral Researcher, University of Murcia
  • Developed novel Federated Learning methods and trustworthy AI frameworks in direct collaboration with armasuisse S&T (Switzerland), working on AI robustness, privacy, explainability and fairness
  • Drove research contributions to two funded EU projects: EU-GUARDIAN (European Defence Fund) and ROBUST-6G (Horizon Europe)
• Sept–Dec 2021 & 2022: Visiting Researcher, Cyber-Defence Campus - armasuisse S&T (Thun, Switzerland)
  • Two research residencies (6 months total), producing results that fed into PhD thesis publications and an ongoing armasuisse collaboration
• Sept 2019 – Feb 2024: Predoctoral Researcher, University of Murcia
  • armasuisse S&T-funded research on IoT device fingerprinting and adversarial attacks using ML/DL, culminating in a Cum Laude PhD, a national award, and 12+ peer-reviewed publications

Education

• Ph.D. in Computer Science, Cum Laude. University of Murcia, Sept 2019 – Feb 2024
  • Thesis: Identical IoT device identification via hardware performance fingerprinting and Machine Learning
  • Supported by armasuisse S&T, also involved in the EU-GUARDIAN EDF and 5GZORRO H2020 projects
• M.Sc. in Computer Science, 9.07/10. University of Murcia, Sept 2018 – June 2019
  • Thesis: Securing Smart Offices through an Intelligent and Multi-device Continuous Authentication System
• B.Sc. in Computer Science, 8.04/10. University of Murcia, Sept 2014 – June 2018
  • Graduated with honors. Networking Specialization
  • Thesis: Continuous authentication for mobile devices

Research

• 21 h-index (+20 JCR journals, +10 confs, +4 chapters). Relevant research on Federated Learning, applied ML/DL in IoT behavior security, and AI Trustworthiness. Updated publication list in Google Scholar
• Contributor to NEBULA, an open source platform for decentralized model training, and to the EU-GUARDIAN (EDF), ROBUST-6G and 5G-ZORRO (Horizon) projects

Awards and Achievements

• National Young Researcher Award in Computer Science 2024 – Scientific Society of Computer Science of Spain (SCIE) and BBVA Foundation Link
• Outstanding PhD Thesis Award 2024 – Best Computer Science PhD Thesis of 2024 at the University of Murcia
• Elsevier Computer Networks Best Paper Award 2024 – “Federated learning for malware detection in IoT devices”, a collaboration with EPFL, UZH, and CYD Campus
• Stanford/Elsevier World’s Top 2% Scientists, Single Year 2025
• Udacity Secure and Private AI Nanodegree Scholarship (Facebook), 2019

Skills

• Federated Learning
• Recommender Systems
• AI Trustworthiness
• Machine/Deep Learning
• Security
• IoT
• Programming and Frameworks:
  • Python, Bash, C/C++
  • Keras, PyTorch, scikit-learn
  • AWS SageMaker, Docker, Git
• Courses:
  • HuggingFace AI Agents
  • HuggingFace NLP
  • HuggingFace Computer Vision

Service and Volunteering

• Conference committee: ECAI’24 ‘25
• Conference volunteer/grant recipient: AAAI’23, ACM SIGCOMM’23, IEEE NOMS’22

Publications

Can’t Hide Your Stride: Inferring Car Movement Patterns from Passive TPMS Measurements

Lizarribar, Yago, Scalingi, Alessio, Giustiniano, Domenico, Sánchez Sánchez, Pedro Miguel, Calvo-Palomino, Roberto, Bovet, Gérôme, & Lenders, Vincent. (2026). "Can't Hide Your Stride: Inferring Car Movement Patterns from Passive TPMS Measurements." 2026 21st Wireless On-Demand Network Systems and Services Conference (WONS), 77-84.

TemporalFED: A Software Module for Detecting Cyberattacks in Industry 4.0 Time-Series Data Using Decentralized Federated Learning

Perales Gómez, Ángel Luis, Martínez Beltrán, Enrique Tomás, Sánchez Sánchez, Pedro Miguel, & Huertas Celdrán, Alberto. (2026). "TemporalFED: A Software Module for Detecting Cyberattacks in Industry 4.0 Time-Series Data Using Decentralized Federated Learning." IEEE Access, 14, 64822-64835.

Flighter: Decentralized Federated Learning and Situational Awareness for Secure Military Aerial Reconnaissance

Martínez Beltrán, Enrique Tomás, Sánchez Sánchez, Pedro Miguel, et al. (2025). "Flighter: Decentralized Federated Learning and Situational Awareness for Secure Military Aerial Reconnaissance." IEEE Communications Magazine, 63(10), 136–142.

Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices

Couto Seller, Luís, Sanz Torres, Íñigo, Vogel-Fernández, Adrián, González Carballo, Carlos, Sánchez Sánchez, Pedro Miguel, Carruana Martín, Adrián, & de Miguel Ambite, Enrique. (2025). "Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices." Procesamiento del Lenguaje Natural, 75, 95–106.

CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation

Feng, Chao, Celdrán, Alberto Huertas, Sánchez Sánchez, Pedro Miguel, Kreischer, Jan, von der Assen, Jan, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2025). "CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation." IEEE Transactions on Dependable and Secure Computing, 22(4), 4398-4411.

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning

Sánchez Sánchez, Pedro Miguel et al. (2025). "S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning." IEEE IJCNN 2025.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

Sánchez Sánchez, Pedro Miguel, Martínez Beltrán, Enrique Tomás, Fernández Llamas, Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Huertas Celdrán, Alberto. (2025). "ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes." IEEE ICC 2025, 1596–1601.

Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls

Sánchez, P. M. S., Celdrán, A. H., Bovet, G., & Pérez, G. M. (2024, October). Transfer learning in pre-trained large language models for malware detection based on system calls. In MILCOM 2024-2024 IEEE Military Communications Conference (MILCOM) (pp. 853-858). IEEE.

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning

Feng, Chao, Huertas Celdrán, Alberto, Baltensperger, Janosch, Martínez Beltrán, Enrique Tomás, Sánchez Sánchez, Pedro Miguel, Bovet, Gérôme, & Stiller, Burkhard. (2024). "Sentinel: An Aggregation Function to Secure Decentralized Federated Learning." In ECAI 2024, Frontiers in Artificial Intelligence and Applications, 392, 1760–1767. IOS Press.

Unlocking the Potential of Knowledge Graphs: A Cyber Defense Ontology for a Knowledge Representation and Reasoning System

Jorquera Valero, José María, López Martínez, Antonio, Sánchez Sánchez, Pedro Miguel, Navarro Martínez, Daniel, Varas López, Rodrigo, Rojo Lacal, Javier Ignacio, López Vivar, Antonio, Sotelo Monge, Marco Antonio, Gil Pérez, Manuel, & Martínez Pérez, Gregorio. (2024). "Unlocking the Potential of Knowledge Graphs: A Cyber Defense Ontology for a Knowledge Representation and Reasoning System." Proceedings of the 19th International Conference on Availability, Reliability and Security, 1-9.

Evaluating the impact of contextual information on the performance of intelligent continuous authentication systems

Sánchez Sánchez, Pedro Miguel, Abenza Cano, Adrián, Huertas Celdrán, Alberto, & Martínez Pérez, Gregorio. (2024). "Evaluating the impact of contextual information on the performance of intelligent continuous authentication systems." Proceedings of the 19th International Conference on Availability, Reliability and Security, 1-10.

RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT

Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, et al. (2024). "RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT." IEEE Transactions on Information Forensics and Security, 19, 5520–5529.

Fedstellar: A Platform for Decentralized Federated Learning

Martínez Beltrán, Enrique Tomás, Perales Gómez, Ángel Luis, Feng, Chao, Sánchez Sánchez, Pedro Miguel, López Bernal, Sergio, Bovet, Gérôme, Gil Pérez, Manuel, Martínez Pérez, Gregorio, & Huertas Celdrán, Alberto. (2024). "Fedstellar: A Platform for Decentralized Federated Learning." Expert Systems with Applications, 242, 122861.

Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario

Sánchez Sánchez, Pedro Miguel, Huertas Celdrán, Alberto, Martínez Beltrán, Enrique Tomás, Demeter, Daniel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2024). "Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario." Applied Intelligence, 54(8), 6637-6653.

Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors

Sánchez Sánchez, Pedro Miguel et al. (2024). "Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors." IEEE Transactions on Dependable and Secure Computing, 21(2), 573–584.

Single-board device individual authentication based on hardware performance and autoencoder transformer models

Sánchez Sánchez, Pedro Miguel et al. (2024). "Single-board device individual authentication based on hardware performance and autoencoder transformer models." Computers & Security, 137, 103596.

FederatedTrust: A solution for trustworthy federated learning

Sánchez Sánchez, Pedro Miguel et al. (2024). "FederatedTrust: A solution for trustworthy federated learning." Future Generation Computer Systems, 152, 83-98.

Adversarial attacks and defenses on ML-and hardware-based IoT device fingerprinting and identification

Sánchez Sánchez, Pedro Miguel et al. (2024). "Adversarial attacks and defenses on ML-and hardware-based IoT device fingerprinting and identification." Future Generation Computer Systems, 152, 30–42.

Mitigating communications threats in decentralized federated learning through moving target defense

Martínez Beltrán, Enrique Tomás, Sánchez Sánchez, Pedro Miguel, López Bernal, Sergio, Bovet, Gérôme, Gil Pérez, Manuel, Martínez Pérez, Gregorio, & Huertas Celdrán, Alberto. (2024). "Mitigating communications threats in decentralized federated learning through moving target defense." Wireless Networks, 30(9), 7407-7421.

Identification of IoT Devices Through Machine Learning and Hardware Fingerprints Based on Clock-Skew

Sánchez Sánchez, Pedro Miguel, Celdrán, Alberto Huertas, Marín Sánchez, Sergio, Karmakar, Kallol Krishna, Bovet, Gérôme, & Pérez, Gregorio Martínez. (2024). "Identification of IoT Devices Through Machine Learning and Hardware Fingerprints Based on Clock-Skew." Smart Sensors, Measurement and Instrumentation.

CyberSpec: Behavioral Fingerprinting for Intelligent Attacks Detection on Crowdsensing Spectrum Sensors

Celdrán, Alberto Huertas, Sánchez Sánchez, Pedro Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2024). "CyberSpec: Behavioral Fingerprinting for Intelligent Attacks Detection on Crowdsensing Spectrum Sensors." IEEE Transactions on Dependable and Secure Computing, 21(1), 284-297.

RansomAI: AI-Powered Ransomware for Stealthy Encryption

von der Assen, Jan, Celdrán, Alberto Huertas, Luechinger, Janik, Sánchez Sánchez, Pedro Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "RansomAI: AI-Powered Ransomware for Stealthy Encryption." GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2578-2583.

Behavioral fingerprinting to detect ransomware in resource-constrained devices

Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, von der Assen, Jan, Shushack, Dennis, Perales Gómez, Ángel Luis, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "Behavioral fingerprinting to detect ransomware in resource-constrained devices." Computers & Security, 135, 103510.

Trust-as-a-Service: A reputation-enabled trust framework for 5G network resource provisioning

Jorquera Valero, José María, Sánchez Sánchez, Pedro Miguel, Gil Pérez, Manuel, Huertas Celdrán, Alberto, & Martínez Pérez, Gregorio. (2023). "Trust-as-a-Service: A reputation-enabled trust framework for 5G network resource provisioning." Computer Communications, 211, 229-238.

Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield

Sánchez Sánchez, Pedro Miguel, Martínez Beltrán, Enrique Tomás, Celdrán, Alberto Huertas, Wassink, Robin, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield." MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM), 673-678.

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Martínez Beltrán, Enrique Tomás, Pérez Quiles, Mario, Sánchez Sánchez, Pedro Miguel, et al. (2023). "Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges." IEEE Communications Surveys & Tutorials, 25(4), 2983–3013.

Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion

Martínez Beltrán, Enrique Tomás, Sánchez Sánchez, Pedro Miguel, et al. (2023). "Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion." In Proceedings of IJCAI-23, Demo Track, 7154–7157.

LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers

Sánchez Sánchez, Pedro Miguel, Jorquera Valero, José María, Huertas Celdrán, Alberto, Bovet, Gérôme, Gil Pérez, Manuel, & Martínez Pérez, Gregorio. (2023). "LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers." Internet of Things, 22, 100764.

European framework and proofs-of-concept for the intelliGent aUtomAtion of cybeR Defence Incident mAnagemeNt

García Cid, Marta Irene, Gil Pérez, Manuel, Jorquera Valero, José María, López Martínez, Antonio, Maestre Vidal, Jorge, Martínez Pérez, Gregorio, Méndez García, Laura, Muñoz Plaza, Frida, Nespoli, Pantaleone, Pastor Galindo, Javier, Ramón y Cajal Ramo, Pedro José, Rodríguez López, Francisco Antonio, Sánchez Sánchez, Pedro Miguel, & Sotelo Monge, Marco Antonio. (2023). "European framework and proofs-of-concept for the intelliGent aUtomAtion of cybeR Defence Incident mAnagemeNt." 2023 JNIC Cybersecurity Conference (JNIC), 1-2.

A Trustworthy Federated Learning Framework for Individual Device Identification

Sánchez Sánchez, Pedro Miguel, Huertas Celdrán, Alberto, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "A Trustworthy Federated Learning Framework for Individual Device Identification." 2023 JNIC Cybersecurity Conference (JNIC), 1-8.

A methodology to identify identical single-board computers based on hardware behavior fingerprinting

Sánchez Sánchez, Pedro Miguel et al. (2023). "A methodology to identify identical single-board computers based on hardware behavior fingerprinting." Journal of Network and Computer Applications, 103579.

A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices

von der Assen, Jan, Celdrán, Alberto Huertas, Sánchez Sánchez, Pedro Miguel, Cedeño, Jordan, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices." ICC 2023 - IEEE International Conference on Communications, 6010-6015.

Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks

Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, Feng, Chao, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks." IEEE Internet of Things Journal, 10(10), 8408-8415.

Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices

Celdrán, Alberto Huertas, von der Assen, Jan, Moser, Konstantin, Sánchez Sánchez, Pedro Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2023). "Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices." NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-8.

A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models

Huertas Celdrán, Alberto, Kreischer, Jan, Demirci, Melike, Leupp, Joel, Sánchez Sánchez, Pedro Miguel, et al. (2023). "A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models." In SafeAI 2023: The AAAI Workshop on Artificial Intelligence Safety, CEUR Workshop Proceedings, 3381.

Cutting-Edge Assets for Trust in 5G and Beyond: Requirements, State of the Art, Trends, and Challenges

Jorquera Valero, José María, Sánchez Sánchez, Pedro Miguel, Gil Pérez, Manuel, Huertas Celdrán, Alberto, & Martínez Pérez, Gregorio. (2023). "Cutting-Edge Assets for Trust in 5G and Beyond: Requirements, State of the Art, Trends, and Challenges." ACM Computing Surveys, 55(11), 1-36.

Robust Federated Learning for execution time-based device model identification under label-flipping attack

Sánchez Sánchez, Pedro Miguel, Huertas Celdrán, Alberto, Buendía Rubio, José Rafael, Bovet, Gérôme, & Martínez Pérez, Gregorio. (2023). "Robust Federated Learning for execution time-based device model identification under label-flipping attack." Cluster Computing, 27(1), 313-324.

RITUAL: a Platform Quantifying the Trustworthiness of Supervised Machine Learning

Huertas Celdrán, Alberto, Bauer, Jan, Demirci, Melike, Leupp, Joel, Franco, Muriel Figueredo, Sánchez Sánchez, Pedro Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2022). "RITUAL: a Platform Quantifying the Trustworthiness of Supervised Machine Learning." 2022 18th International Conference on Network and Service Management (CNSM), 364-366.

SpecForce: A Framework to Secure IoT Spectrum Sensors in the Internet of Battlefield Things

Sánchez Sánchez, Pedro Miguel et al. (2022). "SpecForce: A Framework to Secure IoT Spectrum Sensors in the Internet of Battlefield Things." IEEE Communications Magazine.

Intelligent and behavioral-based detection of malware in IoT spectrum sensors

Celdrán, Alberto Huertas, Sánchez Sánchez, Pedro Miguel, Azorín Castillo, Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2022). "Intelligent and behavioral-based detection of malware in IoT spectrum sensors." International Journal of Information Security, 22(3), 541-561.

Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors

Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2022). "Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors." ICC 2022 - IEEE International Conference on Communications, 4080-4085.

Policy-based and Behavioral Framework to Detect Ransomware Affecting Resource-constrained Sensors

Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, Scheid, Eder J., Besken, Timuçin, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2022). "Policy-based and Behavioral Framework to Detect Ransomware Affecting Resource-constrained Sensors." NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-7.

Toward pre-standardization of reputation-based trust models beyond 5G

Jorquera Valero, José María, Sánchez Sánchez, Pedro Miguel, Gil Pérez, Manuel, Huertas Celdrán, Alberto, & Martínez Pérez, Gregorio. (2022). "Toward pre-standardization of reputation-based trust models beyond 5G." Computer Standards & Interfaces, 81, 103596.

Federated learning for malware detection in IoT devices

Rey, Valerian, Sánchez Sánchez, Pedro Miguel, Huertas Celdrán, Alberto, Bovet, Gérôme, & Jaggi, Martin. (2022). "Federated learning for malware detection in IoT devices." Computer Networks, 204, 108693.

Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Devices

Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, Sisi, Fabio, Bovet, Gérôme, Martínez Pérez, Gregorio, & Stiller, Burkhard. (2022). "Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Devices." Studies in Computational Intelligence.

Trusted Execution Environment-Enabled Platform for 5G Security and Privacy Enhancement

Valero, José María Jorquera, Sánchez Sánchez, Pedro Miguel, Lekidis, Alexios, Martins, Pedro, Diogo, Pedro, Pérez, Manuel Gil, Celdrán, Alberto Huertas, & Pérez, Gregorio Martínez. (2021). "Trusted Execution Environment-Enabled Platform for 5G Security and Privacy Enhancement." Studies in Big Data.

Design of a Security and Trust Framework for 5G Multi-domain Scenarios

Jorquera Valero, José María, Sánchez Sánchez, Pedro Miguel, Lekidis, Alexios, Fernández Hidalgo, Javier, Gil Pérez, Manuel, Siddiqui, M. Shuaib, Huertas Celdrán, Alberto, & Martínez Pérez, Gregorio. (2021). "Design of a Security and Trust Framework for 5G Multi-domain Scenarios." Journal of Network and Systems Management, 30(1), 7.

AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning

Sánchez Sánchez, Pedro Miguel, Fernández Maimó, Lorenzo, Huertas Celdrán, Alberto, & Martínez Pérez, Gregorio. (2021). "AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning." Computers & Security, 103, 102168.

A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets

Sánchez Sánchez, Pedro Miguel et al. (2021). "A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets." IEEE Communications Surveys & Tutorials, 23(2), 1048–1077.

AI and ML – Enablers for Beyond 5G Networks

5G-PPP Technology Board (Kaloxylos, Alexandros, Gavras, Anastasius, Camps Mur, Daniel, Ghoraishi, Mir, & Hrasnica, Halid, et al.). (2020). "AI and ML – Enablers for Beyond 5G Networks." 5G-PPP Technology Board White Paper, Zenodo.

BEHACOM - a dataset modelling users’ behaviour in computers

Sánchez Sánchez, Pedro Miguel, Jorquera Valero, José María, Zago, Mattia, Huertas Celdrán, Alberto, Fernández Maimó, Lorenzo, López Bernal, Eduardo, López Bernal, Sergio, Martínez Valverde, Javier, Nespoli, Pantaleone, Pastor Galindo, Javier, Perales Gómez, Ángel Luis, Gil Pérez, Manuel, & Martínez Pérez, Gregorio. (2020). "BEHACOM - a dataset modelling users’ behaviour in computers." Data in Brief, 31, 105767.

Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System

Sánchez Sánchez, Pedro Miguel, Huertas Celdrán, Alberto, Fernández Maimó, Lorenzo, Martínez Pérez, Gregorio, & Wang, Guojun. (2019). "Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System." Communications in Computer and Information Science.

Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System

Jorquera Valero, José María, Sánchez Sánchez, Pedro Miguel, Fernández Maimó, Lorenzo, Huertas Celdrán, Alberto, Arjona Fernández, Marcos, De Los Santos Vílchez, Sergio, & Martínez Pérez, Gregorio. (2018). "Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System." Sensors, 18(11), 3769.

Conferences and Talks

Decentralized Federated Learning: Enabling Collaborative AI With Enhanced Trust and Efficiency

September 30, 2023

Tutorial at 26th European Conference on Artificial Intelligence ECAI 2023, Krakow, Poland

Theoretical and Practical Intelligent Behavioral Fingerprinting

April 25, 2022

Tutorial at IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary

Intelligent Behavioral Fingerprinting - From Theory to Practice

October 25, 2021

Tutorial at 17th International Conference on Network and Service Management , Izmir, Turkey (Online due to COVID)