• A new multi-label dataset for Web attacks CAPEC classification using machine learning techniques 

      Sureda Riera, Tomás; Bermejo Higuera, Juan Ramón ; Bermejo-Higuera, Javier ; Martínez Herraiz, José-Javier; Sicilia, Juan Antonio (Computers & Security, 2022)
      Context: There are many datasets for training and evaluating models to detect web attacks, labeling each request as normal or attack. Web attack protection tools must provide additional information on the type of attack ...
    • Building a dataset through attack pattern modeling and analysis system 

      Bermejo Higuera, Juan Ramón; Bermejo-Higuera, Javier; Tébar García, Juan Luis; Sicilia, Juan Antonio; Sánchez Rubio, Manuel (Elsevier Ltd, 2022)
      The different types of cyber-attacks on information and telecommunications systems are becoming increasingly sophisticated and complex, with several defined phases (attack pattern). Therefore, it is necessary to research ...
    • CYSAS-S3: a novel dataset for validating cyber situational awareness related tools for supporting military operations 

      Daton Medenou, Roumen ; Calzado Mayo, Victor Manuel; Garcia Balufo, Miriam; Páramo Castrillo, Miguel; González Garrido, Francisco José; Luis Martinez, Alvaro; Nevado Catalán, David; Hu, Ao; Sandoval Rodriguez-Bermejo, David; Maestre Vidal, Jorge; Pasqual de Riquelme, Gerardo Ramis; Berardi, Antonio; De Santis, Paolo; Torelli, Francesco; Llopis Sánchez, Salvador (ACM International Conference Proceeding Series, 2020)
      The lack of suitable datasets and evaluation processes entails one of the most challenging gaps on the digital transformation era, where data-driven solutions like machine learning algorithms constitute a key pillar of the ...
    • Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space 

      Restrepo Rodríguez, Andrés Ovidio; Casas Mateus, Daniel Esteban; Gaona-García, Paulo Alonso; Montenegro-Marín, Carlos; González-Crespo, Rubén (Sysmmetry. Basel, 12/2018)
      Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ...
    • 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 ...