activity
20202022
most citedDecentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

581 citations · 727 across the 14 of their papers we have counts for

collaborators
Showing cs.CRShow all

10 papers · 1 filter

cs.CR2022★ 21 cited

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

Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen +4

Cybercriminals are moving towards zero-day attacks affecting resource-constrained devices such as single-board computers (SBC). Assuming that perfect security is unrealistic, Movin…

cs.CR2022

A Security and Trust Framework for Decentralized 5G Marketplaces

José María Jorquera Valero, Manuel Gil Pérez, Gregorio Martínez Pérez

5G networks intend to cover user demands through multi-party collaborations in a secure and trustworthy manner. To this end, marketplaces play a pivotal role as enablers for networ…

cs.CR2022★ 2 cited

Trust-as-a-Service: A reputation-enabled trust framework for 5G networks

José María Jorquera Valero, Pedro Miguel Sánchez Sánchez, Manuel Gil Pérez +2

Trust, security, and privacy are three of the major pillars to assemble the fifth generation network and beyond. Despite such pillars are principally interconnected, they arise a m…

cs.CR2022★ 13 cited

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

Jan von der Assen, Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez +4

Malware affecting Internet of Things (IoT) devices is rapidly growing due to the relevance of this paradigm in real-world scenarios. Specialized literature has also detected a tren…

cs.CR2022★ 31 cited

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

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk +4

Device fingerprinting combined with Machine and Deep Learning (ML/DL) report promising performance when detecting cyberattacks targeting data managed by resource-constrained spectr…

cs.CR2022★ 10 cited

CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum Sensors

Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet +2

Integrated sensing and communication (ISAC) is a novel paradigm using crowdsensing spectrum sensors to help with the management of spectrum scarcity. However, well-known vulnerabil…

cs.CR2021★ 2 cited

Eight Reasons Why Cybersecurity on Novel Generations of Brain-Computer Interfaces Must Be Prioritized

Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez

This article presents eight neural cyberattacks affecting spontaneous neural activity, inspired by well-known cyberattacks from the computer science domain: Neural Flooding, Neural…

cs.CR2021★ 18 cited

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

Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán +3

The connectivity and resource-constrained nature of single-board devices open the door to cybersecurity concerns affecting Internet of Things (IoT) scenarios. One of the most impor…

cs.CR2021★ 1 cited

Neuronal Jamming Cyberattack over Invasive BCI Affecting the Resolution of Tasks Requiring Visual Capabilities

Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez

Invasive Brain-Computer Interfaces (BCI) are extensively used in medical application scenarios to record, stimulate, or inhibit neural activity with different purposes. An example…

cs.CR2020★ 27 cited

AuthCODE: A Privacy-preserving and Multi-device Continuous Authentication Architecture based on Machine and Deep Learning

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Lorenzo Fernández Maimó +1

The authentication field is evolving towards mechanisms able to keep users continuously authenticated without the necessity of remembering or possessing authentication credentials.…