• A Training Web Platform to Improve Cognitive Skills for Phishing Attacks Detection 

      Cazares, María Fernanda; Arévalo, Diana; Andrade, Roberto O.; Fuertes, Walter; Sánchez Rubio, Manuel (Lecture Notes in Networks and Systems, 2022)
      Attackers adapt their attacks to be more effective based on exploiting technical and human vulnerabilities. Social engineering attacks take advantage of human vulnerabilities considering that psychological factors could ...
    • An approach for integrating uncertainty when selecting an anti-torpedo decoy in brand new warships 

      Carreño, Rafael M.; Martínez Torres, Javier ; Benito Bouza, José (Mathematical and Computational Applications, 03/2019)
      The Spanish Navy has planned that the F-80 frigates will be replaced by the brand new F-110 frigates in 2022. The F-110 program is in the conceptual design phase and one of the objectives is to provide the new F-110 frigate ...
    • Decision-Making in Gambling Disorder, Problematic Pornography Use, and Binge-Eating Disorder: Similarities and Differences 

      Mestre-Bach, Gemma ; Fernandez-Aranda, Fernando; Jimenez-Murcia, Susana; Potenza, Marc N. (Current behavioral neuroscience reports, 09/2020)
      Purpose of Review: The present review attempts to provide a comprehensive and critical overview of the neurocognitive mechanisms of gambling disorder (GD), problematic pornography use (PPU), and binge-eating disorder (BED), ...
    • Disadvantageous Decision-Making as a Predictor of Drop-Out among Cocaine-Dependent Individuals in Long-Term Residential Treatment 

      Stevens, Laura; Betanzos-Espinosa, Patricia; Crunelle, Cleo L.; Vergara-Moragues, Esperanza ; Roeyers, Herbert; Lozano Rojas, Óscar; Geert, Dom; González-Saiz, Francisco; Vanderplasschen, Wouter; Verdejo-García, Antonio; Pérez-García, Miguel (Frontier in Psychiatry, 11/2013)
      The treatment of cocaine-dependent individuals (CDI) is substantially challenged by high drop-out rates, raising questions regarding contributing factors. Recently, a number of studies have highlighted the potential of ...
    • Evaluation methodology for mission-centric cyber situational awareness capabilities 

      Sandoval Rodriguez-Bermejo, David; Daton Medenou, Roumen ; Pasqual de Riquelme, Gerardo Ramis; Maestre Vidal, Jorge; Torelli, Francesco; Llopis Sánchez, Salvador (ACM International Conference Proceeding Series, 2020)
      The emerging need for cyber defence capabilities able to bring closer cyberspace supremacy in joint military operations has led defence practitioners to begin a cyber race where academy, researchers, industry and military ...
    • Introducing the CYSAS-S3 Dataset for Operationalizing a Mission-Oriented Cyber Situational Awareness 

      Medenou Choumanof, Roumen Daton; Llopis Sánchez, Salvador; Calzado Mayo, Victor Manuel; Garcia Balufo, Miriam; Páramo Castrillo, Miguel; González Garrido, Francisco José; Luis Martinez, Alvaro; Nevado Catalán, David; Hu, Ao; Rodriguez-Bermejo, David Sandoval; Pasqual De Riquelme, Gerardo Ramis; Sotelo Monge, Marco Antonio; Berardi, Antonio; De Santis, Paolo; Torelli, Francesco; Maestre Vidal, Jorge (Sensors, 2022)
      The digital transformation of the defence sector is not exempt from innovative requirements and challenges, with the lack of availability of reliable, unbiased and consistent data for training automatisms (machine learning ...
    • Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes 

      Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (2017 IEEE International conference on fuzzy systems (FUZZ-IEEE), 2017)
      Classification learning is a very complex process whose success and failure ratio depends on a high amount of elements. One of them is the representation mean used for the data that is employed in the process. Granularity ...