eBiltegia - Digital repository of Mondragon Unibertsitatea
The Digital Repository of Mondragon Unibertsitatea provides you with full text access to the documents produced by the university as a result of its academic, research and institutional activity in open access. Its purpose is to increase the visibility of University´s scientific and teaching production, to spread its impact and to assure its preservation, complying with the institution's Open Access policies:
Its objective is to promote open science, increase the visibility and impact of university scientific and academic production, ensure the safe preservation of digital content and facilitate its interoperability through technical standards.You will find doctoral theses, bachelor and master thesis, teaching materials, university publications, working documents, preprints, postprints, articles, conference proceedings, data sets, institutional documents, etc.
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Replica-Based Moving Target Defense Against Injection Attacks in Software-Defined Industrial Control Systems
(IEEE, 2026)Recent incidents have demonstrated the increasing vulnerability of Industrial Control Systems (ICSs) to sophisticated and targeted attacks orchestrated by adversaries with high motivation, resources, and domain knowledge. ... -
Explainable and Evaluative Artificial Intelligence: Alternatives to Ensure Equity in Decision-Making
(Instituto Politecnico Nacional, 2026)Explainable Artificial Intelligence (XAI) and Evaluative Artificial Intelligence (EAI) are crucial approaches to ensuring fairness in decision-making. XAI refers to the ability of Artificial Intelligence (AI) systems to ... -
A Probabilistic Physics-Aware Battery Health Management Approach for Inspection Drone Operations
(Springer Nature, 2026)The increasing deployment of inspection drones for monitoring remote and critical infrastructure presents new opportunities and challenges in asset management. These drones operate in demanding environments, where ensuring ... -
Sow Smarter, Not Harder: Evaluating LLM-Generated Seeds for Fuzzing Critical Infrastructure
(Springer Nature, 2026)Software vulnerabilities in critical infrastructure components can lead to severe disruptions. While fuzzing effectively identifies such weaknesses, the quality of initial seed inputs significantly impacts its effectiveness. ... -
MagNet Challenge 2023 Revisited: Beyond the Bounds of Equation-Based Core Loss Modeling
(IEEE, 2026)This work focuses on addressing limitations and improving MU’s MagNet Challenge 2023 core loss model. MU’s core loss model is presented and explained, which formalizes and standardizes the model. Then, key limitations ...
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