ISDEFE HORIZON NETWORK
Defense and Security Observatory
The Defense and Security Observatory of Isdefe's Horizons Network analyzes and evaluates trends, innovations and technological advances that impact the field of defense and security. The objective of the observatory is to identify risks and opportunities in order to strengthen Isdefe's work in support of the Ministry of Defense and the rest of the General State Administration.
Defence and Security Observatory Alliance
Defence and Security Observatory Alliance
Defence and Security Systems Node
Lines of research:
- Application of Big Data to predictive maintenance.
- Application of AI and data analysis to radar signal processing.
- Combat Cloud.
Chair Directors: Mateo Burgos (UPM) and Luis Alfonso García (Isdefe)
Defence and Security Observatory Alliance
Cybersecurity Node
Lines of research:
- Legal, cloud, dark internet and mobile cybersecurity.
- Blockchain and underlying technologies.
- Homomorphic cryptography and lightweight cryptography.
- IoT security and hardware.
Chair Directors: José Javier Martínez (UAH) and José Antonio Pérez (Isdefe)
Defence and Security Observatory Alliance
CETEDEX Support Node
Lines of research:
- Anti-drone defense systems.
- Autonomous and intelligent vehicles.
- Artificial Intelligence (AI).
Chair Directors: Luis Alfonso Ureña (UJA) and José María Cruz (Isdefe)
Defence and Security Observatory Alliance
UME Support Node
Lines of research:
- Simulation and management of emergency scenarios using drones.
- Application of emerging technologies to optimize drone payload.
Chair Directors: Joaquín Barreiro (ULE) and María Jesús Llorden (Isdefe)
Defence and Security Observatory Alliance
Logistics Node
Lines of research:
- Predictive maintenance.
- Logistics 4.0.
- Intelligent Bases and Arsenals.
Chair Directors: Mateo Burgos (UPM) and Luis Alfonso García (Isdefe)
Observatory Publications
“Proposal of an ontological model in federated systems based on JC3IEDM taxonomies” (November 2024).
Author: Carlota María Muñoz de Luna Eusebio
“Design and implementation of an object detection system using unmanned aerial vehicles based on federated learning models” (November 2024).
Final Degree Project by Alberto Mateo Muñoz.
"Deep Learning techniques based on inertial measurements for the enhancement of remote sensing capabilities in on-board electro-optical sensors" (november 2022)
Communication presented at the DESEi+d 2022 Congress.
‘Big Data applied to Defence and Security. State of the Art Technologies’ (september 2022)
Overview of Big Data applications in the field of Defence and Security.
‘Analysis and definition of a high power radio frequency system for physical nulling of RPA systems’. TFM Javier Cano (July 2021)
Master's thesis is the result of the research carried out by the student Javier Cano on the use of RF in counter-drone systems (C-UAS).
‘Development of algorithms for the detection of optically camouflaged objects using on-board hyperspectral cameras’. TFG Alba Delgado (July 2019)
Final Degree Project resulting from the development of algorithms carried out within the Chair by the student Alba Delgado.
‘State of the Art of Antidron Technologies’ (june 2018)
Technical report on the state of the art of technologies to combat careless or negligent use of drones.
