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  • Artificial intelligence and cybersecurity laboratory

    The cybersecurity laboratory offers solutions based on data analytics. The tools are devoted to tasks such as intrusion detection and, anomaly detection and predictive analysis among others. Our team is composed of statisticians, computer scientists and mathematicians which have experience both at academia and industry in designing and implementing machine learning tools, statistics for large data volumes, information extraction and prediction.

      MOST OUTSTANDING EQUIPMENT AND COMPONENTS

    • Computational cluster

    Fields of application

    Asset protection

    Attack detection

    Attack response

    SERVICES OFFERED BY THE ASSET

    Data analysis for cybersecurity

    Development of algorithms to detect intrusions in computer or industrial networks, based on the development on demand of prediction and time series forecasting systems.

    Development of optimisation and Big Data applications robust to attacks

    Big Data algorithms have become a great aid to decision making. In many cases, very significant decisions are made almost entirely based on the calculations of these algorithms. Big Data technologies are fed with data that, in the industry, are frequently generated by sensors. A malicious user could take control of a data source and modify it so that the Big Data algorithms make wrong decisions based on the manipulated data. When it comes to the development of Big Data systems in key components, it is necessary to implement techniques that can detect such manipulations in order to act accordingly.

    ENTITY MANAGING THE ASSET

    BCAM - Basque Center for Applied Mathematics
    Contact person:
    Ekhine Irurozki Arrieta