• Behavioral modeling for anomaly detection in industrial control systems 

      Garitano, Iñaki (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2013)
      In 1990s, industry demanded the interconnection of corporate and production networks. Thus, Industrial Control Systems (ICSs) evolved from 1970s proprietary and close hardware and software to nowadays Commercial Off-The-Shelf ...
    • Data minig approaches for analysis of worm activity toward automatic signature generation 

      Zurutuza, Urko (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2007)
      En esta tesis se propone un marco para el análisis de tráfico no solicitado (como intentos de propagación de gusanos informáticos) recopilados por un sistema de monitorización de red. El análisis de esta información puede ...
    • Data-Driven Anomaly Detection in Industrial Networks 

      Iturbe, Mikel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2017)
      Since the conception of the first Programmable Logic Controllers (PLCs) in the 1960s, Industrial Control Systems (ICSs) have evolved vastly. From the primitive isolated setups, ICSs have become increasingly interconnected, ...
    • Dynamic monitoring of Android malware behavior: a DNS-based approach 

      Somarriba jarquin, Oscar Manuel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)
      The increasing technological revolution of the mobile smart devices fosters their wide use. Since mobile users rely on unofficial or thirdparty repositories in order to freely install paid applications, lots of security ...
    • Metodologías data-driven para optimizar la interacción persona-máquina en escenarios industriales 

      Reguera-Bakhache, Daniel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)
      The rapid expansion of new technologies into the industrial sector has transformed traditional industrial processes into intelligent operations, in which operator-machine interaction is becoming increasingly complex. In ...