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 2022 · cs.CRShow all

6 papers · 2 filters

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…