E
Eduardo Fernández-Medina
Researcher at University of Castilla–La Mancha
Publications - 222
Citations - 4592
Eduardo Fernández-Medina is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Data warehouse & Computer security model. The author has an hindex of 32, co-authored 215 publications receiving 4279 citations.
Papers
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Proceedings ArticleDOI
Security Requirements Variability for Software Product Lines
TL;DR: A security requirements decision model driven by security standards along with a security variability model to manage the variability of the security requirements related artefacts is proposed.
Journal ArticleDOI
A Personal Data Audit Method through Requirements Engineering
Miguel Angel Martínez,Joaquín Lasheras,Eduardo Fernández-Medina,Ambrosio Toval,Mario Piattini +4 more
TL;DR: This paper presents a methodology with which to audit personal data protection, using Requirements Engineering and based on CobiT, and has been validated in four real case studies.
Journal Article
Developing a Secure Mobile Grid System through a UML Extension
TL;DR: This paper introduces the main aspects of the UML profile defined for building use case diagrams in the mobile Grid context through which it is possible to represent specific mobile Grid features and security aspects, and shows in detail how to build use cases diagrams for a real mobile Grid application by using the U ML profile, denominated as GridUCSec-Profile.
Book ChapterDOI
Towards a Modernization Process for Secure Data Warehouses
Carlos Blanco,Ricardo Pérez-Castillo,Arnulfo Hernández,Eduardo Fernández-Medina,Juan Trujillo +4 more
TL;DR: A model driven architecture (MDA) for secure DWs is proposed which takes into account security issues from the early stages of development and provides automatic transformations between models.
Journal ArticleDOI
An architecture for automatically developing secure OLAP applications from models
TL;DR: Improvement of a UML profile for conceptual modeling; definition of a logical metamodel for OLAP applications; definition and implementation of transformations from conceptual to logical models, and from logical models to the secure implementation into a specific OLAP tool (SSAS).