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Gregorio Martínez Pérez
Researcher at University of Murcia
Publications - 216
Citations - 3427
Gregorio Martínez Pérez is an academic researcher from University of Murcia. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 26, co-authored 185 publications receiving 2738 citations. Previous affiliations of Gregorio Martínez Pérez include California Health and Human Services Agency.
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TRIP, a trust and reputation infrastructure-based proposal for vehicular ad hoc networks
TL;DR: The original proposal, TRIP, aimed to quickly and accurately distinguish malicious or selfish nodes spreading false or bogus messages throughout the network, and a set of design requirements for trust and reputation models specifically applicable to VANETs are suggested.
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Security threats scenarios in trust and reputation models for distributed systems
TL;DR: This work describes and analyzes each of the most important and critical security threats that could be applied in a trust and reputation scheme and proposes some recommendations to face them when developing a new Trust and reputation mechanism.
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A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks
Lorenzo Fernández Maimó,Ángel Luis Perales Gómez,Félix J. García Clemente,Manuel Gil Pérez,Gregorio Martínez Pérez +4 more
TL;DR: A novel 5G-oriented cyberdefense architecture to identify cyberthreats in 5G mobile networks efficient and quickly enough and can self-adapt the anomaly detection system based on the volume of network flows gathered from 5G subscribers’ user equipments in real-time and optimizing the resource consumption.
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Do not snoop my habits: preserving privacy in the smart grid
TL;DR: This article presents a privacy enhanced architecture for smart metering aimed to tackle this threat by means of a new and novel protocol encrypting individual measurements while allowing the electricity supplier to access the aggregation of the corresponding decrypted values.
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Providing trust in wireless sensor networks using a bio-inspired technique
TL;DR: This paper presents a bio-inspired trust and reputation model, called BTRM-WSN, based on ant colony systems aiming at providing Trust and reputation in WSNs, and demonstrates the accuracy, robustness and lightness of the proposed model in a wide set of situations.