Data Analysis and Cybersecurity
DATA ANALYSIS AND CYBERSECURITY
The Data Analysis and Cybersecurity Research Team (DANZ) at Mondragon University is part of the consolidated Research Group of the Basque University System, Intelligent Systems for Industrial Systems (Type A). The group's purpose is to contribute to digital trust as a key to society's competitive development and to improve decision-making processes as a fundamental link in digital transformation.
To achieve these objectives, the group proposes four main challenges:
CHALLENGE 1: SYSTEM THREAT DETECTION
Development of intrusion detection capabilities, anomaly analysis, network and system monitoring, and improved situational observability in industrial environments. The team works with technologies such as Moving Target Defense (MTD), malware analysis, cyber-deception techniques, and secure software development.
CHALLENGE 2: BEHAVIORAL PATTERN DETECTION
Application of statistical analysis techniques, machine and deep learning, federated learning, transfer learning, and hybrid physically based models. The project works in industrial, energy, social, and financial scenarios to extract useful knowledge and relevant patterns from complex and distributed data.
CHALLENGE 3: SEARCH FOR OPTIMAL SOLUTIONS TO COMPLEX MULTI-OBJECTIVE PROBLEMS
Development and application of evolutionary algorithms, reinforcement learning, and surrogate models for optimization in real-world environments. This includes industrial problems such as energy, logistics, and planning optimization in manufacturing and predictive maintenance.
CHALLENGE 4: DEVELOPING TRUST IN AUTONOMOUS DECISIONS
Integration of explainable artificial intelligence (XAI) techniques, causal learning, and robust probabilistic models. The goal is to ensure that autonomous and decision support systems are trustworthy, transparent, and aligned with ethical principles./p>
The group works with a multidisciplinary and applied approach. Its areas of application include industrial cybersecurity, predictive maintenance, product quality, analytics in the healthcare and energy sectors, optimization of production processes, and the development of solutions based on generative AI and language models.
The Data Analytics and Cybersecurity research group maintains close collaboration with industry and strategic sectors, highlighting its experience in real-world production environments and its commitment to technology transfer and advanced training in artificial intelligence, data analytics, and cybersecurity.
More than 30 active projects annually
Approximate annual budget of €1.1 million
36 researchers (20 PhDs, 3 engineers, 4 PhD students, 1 laboratory technician, and 8 dual-student students) and numerous international collaborations
Active member of national and international networks of excellence such as RENIC, BDVA, ECSO, and CAIRNE
Offers of employment and doctorate
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