Browsing by Author "Gutiérrez Escobar, Norma"

Now showing items 1-6 of 6

    • A differential privacy protection-based federated deep learning framework to fog-embedded architectures 

      Gutiérrez Escobar, Norma; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Utrera Iglesias, Gladys Miriam; Mus León, Sergi; Canal Corretger, Ramon (Elsevier, 2024-04)
      Article
      Open Access
      Nowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, ...

    • A survey of deep learning techniques for cybersecurity in mobile networks 

      Rodríguez Luna, Eva; Otero Calviño, Beatriz; Gutiérrez Escobar, Norma; Canal Corretger, Ramon (2021-06-07)
      Article
      Open Access
      The widespread use of mobile devices, as well as the increasing popularity of mobile services has raised serious cybersecurity challenges. In the last years, the number of cyberattacks has grown dramatically, as well as ...

    • Deep-learning based detection for cyber-attacks in IoT networks: A distributed attack detection framework 

      Jullian Parra, Olivia; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Gutiérrez Escobar, Norma; Antona Pizà, Héctor; Canal Corretger, Ramon (Springer Nature, 2023-02-04)
      Article
      Open Access
      The widespread use of smart devices and the numerous security weaknesses of networks has dramatically increased the number of cyber-attacks in the internet of things (IoT). Detecting and classifying malicious traffic is ...

    • Long short-term memory networks for earthquake detection in Venezuelan regions 

      Mus León, Sergi; Gutiérrez Escobar, Norma; Tous Liesa, Rubén; Otero Calviño, Beatriz; Cruz de la Cruz, Stalin Leonel; Llácer Giner, David; Alvarado Bermúdez, Leonardo; Rojas, Otilio (Springer, 2019)
      Conference lecture
      Open Access
      Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks ...

    • Malicious website detection through deep learning algorithms 

      Gutiérrez Escobar, Norma; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Canal Corretger, Ramon (Springer Nature, 2022)
      Conference report
      Open Access
      Traditional methods that detect malicious websites, such as blacklists, do not update frequently, and they cannot detect new attackers. A system capable of detecting malicious activity using Deep Learning (DL) has been ...

    • Privacy preserving deep learning framework in fog computing 

      Gutiérrez Escobar, Norma; Rodríguez Luna, Eva; Mus León, Sergi; Otero Calviño, Beatriz; Canal Corretger, Ramon (Springer, 2020)
      Conference report
      Open Access
      Nowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ...