Publication: Nube de detección temprana de actividades terroristas
Loading...
Official URL
Full text at PDC
Publication Date
2019
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Exportar
Abstract
Desde el año 2015 España se encuentra en el nivel cuatro (Riesgo Alto) de alerta antiterrorista. Las Fuerzas y Cuerpos de Seguridad del Estado tienen que gestionar una enorme cantidad de datos para controlar las bandas terroristas, lo que supone un gran reto.
NDTAT es un sistema modular de recopilación y análisis de datos, cuya finalidad es ayudar a los agentes de las Fuerzas y Cuerpos de Seguridad del Estado con ese reto. Para ello, se han creado cinco módulos: el módulo de Recopilación Pasiva de datos, el módulo de Recopilación Activa de datos mediante las redes sociales, el módulo de Importación, el módulo de Visualización de datos y el Motor de Reglas.
El módulo de Recopilación Pasiva: consiste en una aplicación web, que permite a los ciudadanos colaborar, aportando información respecto a las actividades terroristas.
El módulo de Recopilación Activa: se trata de dos algoritmos de OSINT (Open Source INTelligence) que se han desarrollado para obtener los datos de Twitter y de Instagram, de forma automatizada.
El módulo de Visualización: consiste en un panel de control, donde se visualiza toda la información recopilada y analizada por el Motor de Reglas.
Since the year 2015, Spain is at the level four (High Risk) of terrorist alert. The State Security Forces, such as Police and Civil Guard, have as a task to manage a huge cuantity of data in order to control terrorist organizations, and that is a big challenge. NDTAT is a modular system that is meant to collect and analyse data, its purpose is to help security forces with that challenge. In order to create a possible solution, we have created four modules: Passive Data Gatherer, Active Data Gatherer, Importation Module, Rules Engine and Data Visualization Module. The Passive Gatherer consists in a web application that allows citizens to collaborate with the security forces, providing any information about any terrorist activity. The Active Gatherer is an automatized OSINT algorithm that collects open source data from Twitter and Instagram. The Data Visualization Module consists in a control panel that shows all of the gathered and analyzed data by the Rules Engine, as much as allows to set up all of the other modules configs.
Since the year 2015, Spain is at the level four (High Risk) of terrorist alert. The State Security Forces, such as Police and Civil Guard, have as a task to manage a huge cuantity of data in order to control terrorist organizations, and that is a big challenge. NDTAT is a modular system that is meant to collect and analyse data, its purpose is to help security forces with that challenge. In order to create a possible solution, we have created four modules: Passive Data Gatherer, Active Data Gatherer, Importation Module, Rules Engine and Data Visualization Module. The Passive Gatherer consists in a web application that allows citizens to collaborate with the security forces, providing any information about any terrorist activity. The Active Gatherer is an automatized OSINT algorithm that collects open source data from Twitter and Instagram. The Data Visualization Module consists in a control panel that shows all of the gathered and analyzed data by the Rules Engine, as much as allows to set up all of the other modules configs.
Description
Trabajo de Fin de Grado, Universidad Complutense, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática. Curso 2018/2019