activity
20202022
most citedEight Reasons Why Cybersecurity on Novel Generations of Brain-Computer Interfaces Must Be Prioritized

2 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

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.CR20222 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.SI2021

BOTTER: A framework to analyze social bots in Twitter

Javier Pastor-Galindo, Félix Gómez Mármol, Gregorio Martínez Pérez

Social networks have triumphed in communicating people online, but they have also been exploited to launch influence operations for manipulating society. The deployment of software…

cs.CR20212 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.CR20211 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

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.…