Germán Madinabeitia Luque

Profesor Colaborador Doctor

Universidad de Sevilla

Spain

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Professors in Spain Professors in Cybersecurity Cybersecurity professors in Spain

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Germán Madinabeitia Luque is a Profesor Colaborador Doctor at Universidad de Sevilla in Spain. His research areas include anomaly detection in cyber security, IoT energy efficiency, and the deployment of UAVs for quality-of-service applications. Recent publications highlight his work on detecting HTTP-based attacks and improving energy consumption in IoT devices.

Articles (11)

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (4)

Rafael María Estepa Alonso

Profesor Titular de Universidad

Universidad de Sevilla

SPAIN

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Vicente Jesús Mayor Gallego

Professor

Universidad de Sevilla

SPAIN

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Antonio José Estepa Alonso

Profesor Titular de Universidad

Universidad de Sevilla

SPAIN

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jesus diaz-verdejo

Professor

Universidad de Granada

SPAIN

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Germán Madinabeitia Luque

Research Interests

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About

Articles (11)

Building a large, realistic and labeled HTTP URI dataset for anomaly-based intrusion detection systems: Biblio-US17

A Flexible Multilevel System for Mitre ATT&CK Model-driven Alerts and Events Correlation in Cyberattacks Detection

A critical review of the techniques used for anomaly detection of HTTP-based attacks: taxonomy, limitations and open challenges

Minimizing energy consumption in 802.15.4 IoT devices with multilevel xRPL (MxRPL)

A critical review of the techniques used for anomaly detection of HTTP-based attacks: taxonomy, limitations and open challenges

On the Detection Capabilities of Signature-Based Intrusion Detection Systems in the Context of Web Attacks

On the Detection Capabilities of Signature-Based Intrusion Detection Systems in the Context of Web Attacks

Deployment of UAV-mounted Access Points for VoWiFi Service with guaranteed QoS

RPL Cross-Layer Scheme for IEEE 802.15.4 IoT Devices With Adjustable Transmit Power

Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service

How Much Training Data is Enough? A Case Study for HTTP Anomaly-Based Intrusion Detection

Collaborators (4)

Rafael María Estepa Alonso

Vicente Jesús Mayor Gallego

Antonio José Estepa Alonso

jesus diaz-verdejo

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