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  • About eBiltegia  
    • What is eBiltegia? 
    •   About eBiltegia
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    •   Mondragon Unibertsitatea's Institutional Policy on Open Access to scientific documents and teaching materials
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    •   eBiltegia Digital Preservation Guidelines
    •   The Library compiles and disseminates your publications
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Now showing items 11-20 of 25

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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 ...
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Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept 

Sainz Oruna, Markel; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (Oxford Academic, 2020)
Specifically tailored industrial control systems (ICSs) attacks are becoming increasingly sophisticated, accentuating the need of ICS cyber security. The nature of these systems makes traditional IT security measures not ...
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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
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A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines 

Izagirre, Unai; andonegui, imanol; Zurutuza, Urko (Elsevier Ltd., 2021)
This manuscript presents a methodology and a practical implementation of a network architecture for industrialrobot data acquisition and predictive maintenance. We propose a non-intrusive and scalable robot signalextraction ...

Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation 

Izagirre, Unai; andonegui, imanol; Eciolaza, Luka; Zurutuza, Urko (Elsevier, 2021)
In this manuscript we report on a vision-based data-driven methodology for industrial robot health assessment. We provide an experimental evidence of the usefulness of our methodology on a system comprised of a 6-axis ...
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Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation 

Sáez-de-Cámara, Xabier; Zurutuza, Urko (IEEE, 2023)
The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ...
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Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets 

Velez de Mendizabal, Iñaki; Ezpeleta, Enaitz; Zurutuza, Urko (PeerJ, 2023)
Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness. In particular, we highlight ...
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Deobfuscating leetspeak with deep learning to improve spam filtering 

Velez de Mendizabal, Iñaki; Vidriales Mazorriaga, Xabier; Ezpeleta, Iñigo; Zurutuza, Urko (UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
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Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Springer Science+Business Media, LLC, 2022)
Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ...
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Low delay network attributes randomization to proactively mitigate reconnaissance attacks in industrial control systems 

Etxezarreta, Xabier; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (Springer, 2023)
Industrial Control Systems are used in a wide variety of industrial facilities, including critical infrastructures, becoming the main target of multiple security attacks. A malicious and successful attack against these ...
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Zurutuza, Urko (25)
Garitano, Iñaki (7)Ezpeleta, Enaitz (5)Iturbe, Mikel (5)Velez de Mendizabal, Iñaki (4)Zugasti, Ekhi (4)andonegui, imanol (3)Etxezarreta, Xabier (3)Izagirre, Unai (3)Serradilla, Oscar (3)... View MoreSubjectpredictive maintenance (5)security (4)Software defined networking (4)spam (3)Botnet (2)Industrial Control Systems (2)Industrial control systems (2)Industry 4.0 (2)Intrusion Detection (2)Machine learning (2)... View MoreDate Issued2020 - 2024 (16)2012 - 2019 (9)Has File(s)Yes (25)

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