Recent Submissions

  • IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection 

    Vigoya, Laura; Fernández, Diego; Carneiro, Víctor; Nóvoa, Francisco (MDPI, 2021)
    [Abstract] With advancements in engineering and science, the application of smart systems is increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT restricted power and computing ...
  • Low Cost Automated Security Audit System 

    Fernández-Arruti Gallego, Pedro; Estévez Pereira, Julio Jairo; Nóvoa, Francisco; Dafonte, Carlos; Fernández, Diego (MDPI, 2021)
    [Abstract] In recent years, a quick transition towards digitization has been observed in most organizations. Along with it, certain inherent problems have appeared, such as the increase in cyber threats. Large organizations ...
  • Early Detection of Cyberbullying on Social Media Networks 

    López-Vizcaíno, Manuel F.; Nóvoa, Francisco; Carneiro, Víctor; Cacheda, Fidel (Elsevier BV, 2021-05)
    [Abstract] Cyberbullying is an important issue for our society and has a major negative effect on the victims, that can be highly damaging due to the frequency and high propagation provided by Information Technologies. ...
  • Network Anomaly Detection Using Machine Learning Techniques 

    Estévez Pereira, Julio Jairo; Fernández, Diego; Nóvoa, Francisco (MDPI AG, 2020-08-19)
    [Abstract] While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks. In this paper, we ...
  • Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors 

    Vigoya, Laura; Fernández, Diego; Carneiro, Víctor; Cacheda, Fidel (MDPI AG, 2020-07-04)
    [Abstract] The relative simplicity of IoT networks extends service vulnerabilities and possibilities to different network failures exhibiting system weaknesses. Therefore, having a dataset with a sufficient number of ...

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