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    • An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance 

      Reguera-Bakhache, Daniel; Garitano, Iñaki; Cernuda, Carlos; Uribeetxeberria, Roberto; Zurutuza, Urko; Lasa, Ganix (IEEE, 2021)
      Adaptive User Interfaces (AUI) have the potential to deliver advantageous solutions for a wide range of industrial applications. Their ability to adapt to operator interaction patterns and achieve a more personalised ...
    • 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 ...
    • Combined data mining approach for intrusion detection 

      Zurutuza, Urko; Uribeetxeberria, Roberto; Azketa, E.; Gil, G.; Lizarraga Durandegui, Jesús María; Fernández Arrieta, Miguel (Scitepress, 2007)
      This paper presents the results of the project MIAU, a data mining approach for intrusion detection alert correlation. MIAU combines different data mining techniques in order to properly solve some existing problems in the ...
    • Cyber Physical System Based Proactive Collaborative Maintenance 

      Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2016)
      The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting and preventing imminent ...
    • 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, ...
    • Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization 

      Reguera-Bakhache, Daniel; Garitano, Iñaki; Uribeetxeberria, Roberto; Cernuda, Carlos; Zurutuza, Urko (IEEE, 2020)
      The application of Artificial Intelligence (AI) into Industrial Human-Machine Interfaces (HMIs) moved old systems with physical buttons and analogue actuators into adaptive interaction models and context-based self adjusted ...
    • Detection and Visualization of Android Malware Behavior 

      Zurutuza, Urko; Uribeetxeberria, Roberto (Hindawi Publishing Corporation, 2016)
      Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious ...
    • Dynamic DNS Request Monitoring of Android Applications via networking 

      Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2018)
      Smart devices are very popular and are becoming ubiquitous in the modern society, with Android OS as the most widespread operating system on current smartphones/tablets. However, malicious applications is one of the major ...
    • 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 ...
    • From KPI Dashboards to Advanced Visualization 

      Garitano, Iñaki; Reguera-Bakhache, Daniel; Uribeetxeberria, Roberto (River Publishers, 2018)
    • An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity 

      Reguera-Bakhache, Daniel; Garitano, Iñaki; Uribeetxeberria, Roberto; Cernuda, Carlos (IEEE, 2021)
      The incorporation of Artificial Intelligence (AI) into Industrial Environments has brought about a Smart Industry revolution, improving efficiency and simplifying complex industrial processes. However, these technological ...
    • 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 ...
    • On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control 

      Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2016)
      Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal operation. Previous ...
    • poliSPAM: Analisis de la eficiencia del spam personalizado utilizando informacion publica de redes sociales 

      Ezpeleta, Enaitz; Uribeetxeberria, Roberto; Zurutuza, Urko; Arenaza-Nuño, Ignacio (Mondragon Unibertsitatea, 2012)
      Las campañas de envío de correos electrónicos no deseados siguen siendo una de las mayores amenazas que afectan a millones de usuarios al día. Si bien los filtros antispam son capaces de detectar y rechazar un número elevado ...
    • Reputation-based intrusion detection system for wireless sensor networks 

      Uribeetxeberria, Roberto; Zurutuza, Urko; Arenaza-Nuño, Ignacio; Gerrigagoitia, Keldor (IEEE, 2012)
      Wireless Sensor Networks (WSNs) can be used in a broad range of applications from complex military operations to simple domestic environments. This makes security a vital characteristic in WSNs. There have been numerous ...
    • SURF and MU-SURF descriptor comparison with application in soft-biometric tattoo matching applications 

      Iturbe, Mikel; Uribeetxeberria, Roberto (Mondragon Unibertsitatea, 2012)
      In this work a comparison of the SURF and MUSURF feature descriptor vectors is made. First, the descriptors’ performance is evaluated using a standard data set of general transformed images. This evaluation consists in ...
    • Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends 

      Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (The Wiley Hindawi Partnership, 2017)
      Industrial Networks (INs) are widespread environments where heterogeneous devices collaborate to control and monitor physical processes. Some of the controlled processes belong to Critical Infrastructures (CIs), and, as ...
    • Visualizing Network Flows and Related Anomalies in Industrial Networks using Chord Diagrams and Whitelisting 

      Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (SCITEPRESS, 2016)
      Industrial Control Systems are the set of specialized elements that monitor and control physical processes. Those systems are normally interconnected forming environments known as industrial networks. The particularities ...
    • XII Reunión Española sobre Criptología y Seguridad de la Información 

      Mondragon Unibertsitatea (Mondragon Unibertsitatea, 2012)

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