• Anomaly based Intrusion Detection using Modified Fuzzy Clustering 

      Harish, B S; Kumar, S V A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. ...
    • ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System 

      Qasim Gandapur, Maryam; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...
    • Machine tools anomaly detection through nearly real-time data analysis 

      Herranz, Gorka ; Antolínez, Alfonso ; Escartín, Javier; Arregi, Amaia; Gerrikagoitia, Jon Kepa (Journal of Manufacturing and Materials Processing, 12/2019)
      This work presents a new methodology for machine tools anomaly detection via operational data processing. The previous methodology has been field tested on a milling-boring machine in a real production environment. This ...
    • Prevention and fighting against web attacks through anomaly detection technology. A systematic review 

      Sureda Riera, Tomás; Bermejo Higuera, Juan Ramón ; Bermejo-Higuera, Javier ; Martínez Herraiz, José-Javier; Sicilia, Juan Antonio (Sustainability (Switzerland), 01/06/2020)
      Numerous techniques have been developed in order to prevent attacks on web servers. Anomaly detection techniques are based on models of normal user and application behavior, interpreting deviations from the established ...
    • Service anomaly detection in dry bulk terminals: a machine learning approach 

      López Ansorena, Iñigo (International Journal of Shipping and Transport Logistics, 2023)
      Bulk terminals are complex environments due to a number of variables that affect terminal performance. Although the analysis of big datasets is destined to become an important component of terminal management, previous ...
    • Video anomaly detection system using deep convolutional and recurrent models 

      Qasim Gandapur, Maryam; Verdú, Elena (Results in Engineering, 2023)
      Automatic identification of anomalies in video surveillance is an interesting research field. Even though interactive multimedia anomaly detection algorithms have been developed, it is still hard for video surveillance to ...